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The Learning Cycle 🌱

The Learning Cycle 🌱

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At The Learning Cycle, we champion collective learning & growth, dedicating our community to sharing resources and opportunities that empower individuals on their learning journeys. Buy ads: https://telega.io/c/learningcycle

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πŸ“ˆ АналитичСский ΠΎΠ±Π·ΠΎΡ€ Telegram-ΠΊΠ°Π½Π°Π»Π° The Learning Cycle 🌱

Канал The Learning Cycle 🌱 (@learningcycle) языкового сСгмСнта Английский являСтся Π°ΠΊΡ‚ΠΈΠ²Π½Ρ‹ΠΌ участником. БСйчас сообщСство ΠΎΠ±ΡŠΠ΅Π΄ΠΈΠ½ΡΠ΅Ρ‚ 29 796 подписчиков, занимая 6 533 мСсто Π² ΠΊΠ°Ρ‚Π΅Π³ΠΎΡ€ΠΈΠΈ ΠžΠ±Ρ€Π°Π·ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΈ 1 367 мСсто Π² Ρ€Π΅Π³ΠΈΠΎΠ½Π΅ БША.

πŸ“Š ΠŸΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΠΈ Π°ΡƒΠ΄ΠΈΡ‚ΠΎΡ€ΠΈΠΈ ΠΈ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠ°

Π‘ ΠΌΠΎΠΌΠ΅Π½Ρ‚Π° создания Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ ΠΏΡ€ΠΎΠ΅ΠΊΡ‚ дСмонстрируСт ΡΡ‚Ρ€Π΅ΠΌΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹ΠΉ рост, собрав Π°ΡƒΠ΄ΠΈΡ‚ΠΎΡ€ΠΈΡŽ ΠΈΠ· 29 796 подписчиков.

Богласно послСдним Π΄Π°Π½Π½Ρ‹ΠΌ ΠΎΡ‚ 20 июня, 2026, ΠΊΠ°Π½Π°Π» ΠΏΠΎΠΊΠ°Π·Ρ‹Π²Π°Π΅Ρ‚ ΡΡ‚Π°Π±ΠΈΠ»ΡŒΠ½ΡƒΡŽ Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒ. Π—Π° послСдниС 30 Π΄Π½Π΅ΠΉ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ числа участников составило 562, Π° Π·Π° послСдниС 24 часа β€” -26, ΠΏΡ€ΠΈ этом ΠΎΠ±Ρ‰ΠΈΠΉ ΠΎΡ…Π²Π°Ρ‚ остаётся высоким.

  • Бтатус Π²Π΅Ρ€ΠΈΡ„ΠΈΠΊΠ°Ρ†ΠΈΠΈ: НС Π²Π΅Ρ€ΠΈΡ„ΠΈΡ†ΠΈΡ€ΠΎΠ²Π°Π½
  • Π£Ρ€ΠΎΠ²Π΅Π½ΡŒ вовлСчённости (ER): Π‘Ρ€Π΅Π΄Π½ΠΈΠΉ ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΡŒ вовлСчённости Π°ΡƒΠ΄ΠΈΡ‚ΠΎΡ€ΠΈΠΈ составляСт 10.55%. Π’ ΠΏΠ΅Ρ€Π²Ρ‹Π΅ 24 часа послС ΠΏΡƒΠ±Π»ΠΈΠΊΠ°Ρ†ΠΈΠΈ ΠΊΠΎΠ½Ρ‚Π΅Π½Ρ‚ ΠΎΠ±Ρ‹Ρ‡Π½ΠΎ Π½Π°Π±ΠΈΡ€Π°Π΅Ρ‚ 3.17% Ρ€Π΅Π°ΠΊΡ†ΠΈΠΉ ΠΎΡ‚ ΠΎΠ±Ρ‰Π΅Π³ΠΎ числа подписчиков.
  • ΠžΡ…Π²Π°Ρ‚ ΠΏΡƒΠ±Π»ΠΈΠΊΠ°Ρ†ΠΈΠΉ: Π’ срСднСм ΠΊΠ°ΠΆΠ΄Ρ‹ΠΉ пост ΠΏΠΎΠ»ΡƒΡ‡Π°Π΅Ρ‚ 3 143 просмотров. Π’ Ρ‚Π΅Ρ‡Π΅Π½ΠΈΠ΅ ΠΏΠ΅Ρ€Π²Ρ‹Ρ… суток публикация Π½Π°Π±ΠΈΡ€Π°Π΅Ρ‚ 944 просмотров.
  • Π Π΅Π°ΠΊΡ†ΠΈΠΈ ΠΈ взаимодСйствия: Аудитория Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎ ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΈΠ²Π°Π΅Ρ‚ ΠΊΠΎΠ½Ρ‚Π΅Π½Ρ‚: срСднСС количСство Ρ€Π΅Π°ΠΊΡ†ΠΈΠΉ Π½Π° ΠΎΠ΄ΠΈΠ½ пост β€” 6.
  • ВСматичСскиС интСрСсы: ΠšΠΎΠ½Ρ‚Π΅Π½Ρ‚ сосрСдоточСн Π½Π° ΠΊΠ»ΡŽΡ‡Π΅Π²Ρ‹Ρ… Ρ‚Π΅ΠΌΠ°Ρ…, Ρ‚Π°ΠΊΠΈΡ… ΠΊΠ°ΠΊ reader, edit, archive, ebook, anna.

πŸ“ ОписаниС ΠΈ контСнтная ΠΏΠΎΠ»ΠΈΡ‚ΠΈΠΊΠ°

Автор описываСт рСсурс ΠΊΠ°ΠΊ ΠΏΠ»ΠΎΡ‰Π°Π΄ΠΊΡƒ для выраТСния ΡΡƒΠ±ΡŠΠ΅ΠΊΡ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ мнСния:
β€œAt The Learning Cycle, we champion collective learning & growth, dedicating our community to sharing resources and opportunities that empower individuals on their learning journeys. Buy ads: https://telega.io/c/learningcycle”

Благодаря высокой частотС ΠΎΠ±Π½ΠΎΠ²Π»Π΅Π½ΠΈΠΉ (послСдниС Π΄Π°Π½Π½Ρ‹Π΅ ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½Ρ‹ 21 июня, 2026) ΠΊΠ°Π½Π°Π» ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΈΠ²Π°Π΅Ρ‚ Π°ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ ΠΈ высокий ΡƒΡ€ΠΎΠ²Π΅Π½ΡŒ ΠΎΡ…Π²Π°Ρ‚Π° ΠΏΡƒΠ±Π»ΠΈΠΊΠ°Ρ†ΠΈΠΉ. Аналитика ΠΏΠΎΠΊΠ°Π·Ρ‹Π²Π°Π΅Ρ‚, Ρ‡Ρ‚ΠΎ аудитория Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎ взаимодСйствуСт с ΠΊΠΎΠ½Ρ‚Π΅Π½Ρ‚ΠΎΠΌ, Ρ‡Ρ‚ΠΎ Π΄Π΅Π»Π°Π΅Ρ‚ Π΅Π³ΠΎ Π²Π°ΠΆΠ½ΠΎΠΉ Ρ‚ΠΎΡ‡ΠΊΠΎΠΉ влияния Π² ΠΊΠ°Ρ‚Π΅Π³ΠΎΡ€ΠΈΠΈ ΠžΠ±Ρ€Π°Π·ΠΎΠ²Π°Π½ΠΈΠ΅.

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🟨 Funded Ph.D. Research Assistant Positions πŸ“š #Construction_Engineering πŸ“š #Civil_Engineering πŸ“š #Computer_Science 🏫 University: Arizona State University 🌎 Country: USA πŸ‡ΊπŸ‡Έ πŸŽ“ Supervisor: Dr. Siyuan Song βœ… Candidates with a background in Construction Engineering, Civil Engineering, Computer Science, or other relevant fields are preferred. Self-motivated, independent, responsible, and enthusiastic individuals with strong English writing and speaking skills are encouraged to apply. Publication records or research experience are a plus. πŸ“Œ How to apply: Please email Dr. Siyuan Song (siyuan.song.1@asu.edu) with the following materials: CV/Resume Transcripts Names and contact information of 3-5 references TOEFL, GRE scores (if any) Sample work (if any), e.g., publications, thesis, etc. πŸ“… Application deadline: The review of applicants will begin immediately and continue until the positions are filled. Please feel free to contact Dr. Song for more information. _____ Copied

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Top 10 Nursing Scholarships for International Students 1. Johnson & Johnson Global Health Nurse Scholarships: https://nursing.jnj.com/scholarships 2. American Association of Colleges of Nursing (AACN) Scholarships: https://www.aacnnursing.org/Students/Financial-Aid 3. Sigma Theta Tau International Honor Society of Nursing (STTI) Scholarships: https://www.sigmanursing.org/advance-elevate/scholarships 4. Fulbright Foreign Student Program: https://foreign.fulbrightonline.org/about/foreign-student-program 5. The Margaret Parkinson Scholarship: https://foundation.acn.edu.au/Foundation/grants-awards.aspx 6. The University of Glasgow Nursing Scholarship: https://www.gla.ac.uk/scholarships/ 7. The Nursing Memorial Foundation Scholarship: https://www.canadamemorialfoundation.org/scholarship/ 8. The Louise Darling Nursing Scholarship: https://n-e-f.org/about-us/nef-scholarships.html 9. The Florence Nightingale Foundation Scholarships: https://florence-nightingale-foundation.org.uk/academy/leadership-development/scholarships/ 10. The Elizabeth Garrett Anderson Scholarship: https://www.leadershipacademy.nhs.uk/programmes/elizabeth-garrett-anderson-programme/ And many more opportunities here: https://n-e-f.org/about-us/nef-scholarships.html Here is the list of Top 10 Best Nursing Scholarships for International Students. Nursing Students scholarships are available worldwide. #Copied

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1. Google Data Analytics: https://www.coursera.org/professional-certificates/google-data-analytics 2. Learn Python Basics for Data Analysis: https://www.coursera.org/learn/python-crash-course 3. Data Analysis with R Programming: https://www.coursera.org/learn/data-analysis-r 4. Foundations: Data, Data, Everywhere: https://www.coursera.org/learn/foundations-data 5. Ask Questions to Make Data-Driven Decisions: https://www.coursera.org/learn/ask-questions-make-decisions 6. Process Data from Dirty to Clean: https://www.coursera.org/learn/process-data 7. Share Data Through the Art of Visualization: https://www.coursera.org/learn/visualize-data 8. Analyze Data to Answer Questions: https://www.coursera.org/learn/analyze-data 9. Get Started with Python: https://www.coursera.org/learn/python 10. Go Beyond the Numbers: Translate Data into Insights: https://www.coursera.org/learn/go-beyond-the-numbers-translate-data-into-insight 11. The Power of Statistics: https://www.coursera.org/learn/the-power-of-statistics 12. Regression Analysis: https://www.coursera.org/learn/regression-analysis-simplify-complex-data-relationships 13. The Nuts and Bolts of Machine Learning: https://www.coursera.org/learn/the-nuts-and-bolts-of-machine-learning 14. Google Advanced Data Analytics Capstone: https://www.coursera.org/learn/google-advanced-data-analytics-capstone

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AI can create a presentation for you in just 30 seconds!! 1. Beautiful.ai    β€’ Smart design    β€’ Customizable templates    β€’ Data visualization    β€’ Analytics tracking    β€’ Link: Beautiful.ai (https://www.beautiful.ai/) 2. Slidebean    β€’ AI-powered outlines    β€’ Content suggestions    β€’ Design automation    β€’ Brand consistency    β€’ Link: Slidebean(https://slidebean.com/) 3. Presentations.ai    β€’ AI-driven suggestions    β€’ Data-driven insights    β€’ Personalized content    β€’ Multiple export formats    β€’ Link: Presentations.ai(https://lnkd.in/gAtW3Tii) 4. Designs.ai    β€’ AI-powered layouts    β€’ Stock image library    β€’ Branded templates    β€’ Collaboration features    β€’ Link: Designs.ai(https://designs.ai/) 5. Pitch    β€’ Collaborative workspace    β€’ Real-time updates    β€’ Chat integration    β€’ Offline access    β€’ Link: Pitch(https://pitch.com/) 6. EdrawMind    β€’ Mind mapping integration    β€’ AI-generated outlines    β€’ Visual slide design    β€’ Customizable templates    β€’ Link: EdrawMind(https://www.edrawmind.com/) 7. Wepik    β€’ Instant slide creation    β€’ AI writer integration    β€’ Variety of styles    β€’ Easy customization    β€’ Link: Wepik(https://www.wepik.com/) 8. DeckRobot    β€’ Brand consistency    β€’ Automated formatting    β€’ Finishing touches    β€’ Text checking    β€’ Link: DeckRobot(https://deckrobot.com/) 9. Visme    β€’ User-friendly interface    β€’ 50+ customizable templates    β€’ Graphic assets and widgets    β€’ Charts, maps, videos    β€’ Link: Visme(https://www.visme.co/) 10. Kroma     β€’ Million+ creative assets     β€’ Data visualization tools     β€’ MS PowerPoint/Keynote integration     β€’ Used by Apple and eBay     β€’ Link: Kroma(https://kroma.ai/) 11. Canva  12. Copilot: From PowerPoint itself.

LeetCode: An Indispensable Resource for Preparing Improving your Coding Skills and Preparing for Technical Interviews LeetCode can be a valuable resource for improving coding skills and preparing for technical interviews. It offers a wide range of coding problems from various domains and difficulty levels, allowing users to practice problem-solving and algorithmic thinking. Many companies, especially in the tech industry, use similar coding challenges during their interview processes. Link: https://leetcode.com/discuss/general-discussion/460599/blind-75-leetcode-questionsBy regularly solving problems on LeetCode, you can enhance your problem-solving abilities, gain familiarity with common algorithms and data structures, and improve your coding efficiency. Additionally, LeetCode provides solutions and discussions for each problem, allowing you to learn from different approaches and gain insights from the community. However, it's important to note that LeetCode is just one of many resources available for improving coding skills. It's beneficial to supplement your learning with other resources like textbooks, online courses, and real-world projects to gain a well-rounded understanding of programming concepts. Ultimately, the worth of LeetCode depends on your specific goals and learning style. If you are preparing for technical interviews or seeking to enhance your coding skills, LeetCode can be a valuable tool in your learning journey. #chatgpt

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Python for Bioinformatics Projects and Drug Discovery: https://morioh.com/p/7fe85ed008f3?f=5c224490c513a556c9042463 Modern Genetics & Biotechnology: https://t.me/allomics BIOINFORMATICS open Access Online Resources carefully collected over Many years 1. https://pubmed.ncbi.nlm.nih.gov/?term=Bioinformatics&sort= 2. http://bio-protocol.org/Default.aspx 3. https://www.vlab.co.in/broad-area-biotechnology-and-biomedical-engineering 4. http://rosalind.info/glossary/ 5. http://ghr.nlm.nih.gov/glossary 6. http://rosalind.info/courses/ 7. http://nptel.ac.in/courses/117106113/ 8. https://www.vlab.co.in/broad-area-computer-science-and-engineering 9. https://www.codecademy.com/resources/cheatsheets/all 10. http://nptel.ac.in/courses/102101003/ 11. https://www.ncert.nic.in/textbook.php( "Class XI" and "Class XII" under the drop-down menus) 12. https://stepik.org/catalog/search?q=Bioinformatics 13. https://www.coursera.org/search?query=Bioinformatics & 15. https://www.edx.org/search?q=Bioinformatics 16. https://nptel.ac.in/courses/102/104/102104056/ 17. https://www.mygoblet.org/training-materials/#trainingmaterialstabs|0 18. https://www.biosb.nl/archive-courses/ 19. https://shodhganga.inflibnet.ac.in/simple-search?query=Bioinformatics 20. http://bioinformaticsinstitute.ru/en 21. https://www.ibiology.org/biology-topics/ 22. http://www.cdfd.org.in/empc/scm_classes.html 23. http://bpa-csiro-workshops.github.io/btp-workshop-ngs/ 24. https://www.biostarhandbook.com/ 25. http://www.startbioinfo.org/ 26. http://www.cdfd.org.in/empc/scm_classes.html 27. https://bio.tools/ 28) https://www.embnet.org/wp/quick-guides/ https://www.embnet.org/wp/critical-guides/ 29. https://www.wipo.int/tools/en/gsearch.html?q=Bioinformatics 30. http://countbio.com/ 31. https://www.ebi.ac.uk/training/on-demand 32. http://www.staff.hs-mittweida.de/~wuenschi/doku.php?id=rwbook2 33. https://biotech.co.in/en/binc-bioinformatics-national-certification 34. https://www.youtube.com/results?search_query=ncbi+now 35. https://scilifelab.github.io/courses/ 36. https://www.imsc.res.in/~kabru/parapp/bioinformatics_notes.pdf 37. https://tess.elixir-europe.org/materials 38. https://www.agmoocs.in/courses 39. AWK one liners- http://www.pement.org/awk/awk1line.txt 40. http://rsg-uk.iscbsc.org/resources/16-education-resources.html 41. https://rsgturkey.com/en/resources/ 42. https://iscb-mx.github.io/ 43. https://www.bioinformatics.recipes/ https://www.bioinformatics.recipes/project/list/ https://www.bioinformatics.recipes/latest/recipes/ 44. https://nptel.ac.in/courses/102/106/102106065/ 45. https://onlinecourses.swayam2.ac.in/cec21_bt04/preview 46. https://bioinformaticsdotca.github.io/ 47. https://edu.t-bio.info/collections/ 48. https://edu.t-bio.info/lp-courses/ 49. https://bioconductor.org/help/course-materials/ 50. https://www.iscb.org/education-and-training-resources #newliferesearchfoundationteam #ngunanaddingimentorshipprogram #upcimulticulturalrainministryandglobalmissions #christianyouthsummitmakurdi #themoscowgoodnewschurchandicf #adullamcalvarymission

Learn Python, R & SQL Programming, Bioinformatics, Genomics & Omics/Multiomics, Advanced Genetics, Biotechnology, Bash Scripting, Biostatistics, Statistics and Probability, Machine Learning, Artificial Intelligence, Large Language Models, LangChain, ChatGPT/ChatGPT Plus (4), etc @everyone, we carefully compiled these materials for those who willl be starting their studies soon, you can also find them useful for self-studying. (1) Python, R & SQL Programming, AI - ML/DL (a) From Blogs such as W3Schools, Machine Learning Mastery, Towards Data Science, Kaggle, Coursera, Analytics Vidhya, Leetcode, Khan Academy, Skikit learn, DataCamp, GeekforGeeks, Educative.io, GitHub repositories, Simplilearn, Edureka, mit.edu.courses, ETH Python Course, Symposium materials from GT, dev.to courses, developers.google, byjusfutureschools.edu, Real Python, c-sharpcorner.com, etc - https://docs.google.com/document/d/1--9XgjuOv9ZhDfuGDpUzE1e04JCTtrijSHgMnZ7MI9Y/edit (b) BioPython - For Projects http://biopython.org/DIST/docs/tutorial/Tutorial.html (c) Deep Learning https://dl.ebooksworld.ir/books/Deep.Learning.for.Coders.with.fastai.and.PyTorch.Howard.Gugger.OReilly.9781492045526.EBooksWorld.ir.pdf (d) Computational Genomics with R https://compgenomr.github.io/book/ (e) SQL https://www.sqlbot.co/ https://www.w3schools.com/sql/ https://www.kaggle.com/learn/intro-to-sql https://www.kaggle.com/learn/advanced-sql https://www.kaggle.com/code/dimarudov/data-analysis-using-sql (2) Maths of Machine Learning By deeplearning.ai https://www.deeplearning.ai/courses/mathematics-for-machine-learning-and-data-science-specialization/ (b) ChatGPT for Education and Research Chat GPT 4 - ChatGPT Free Download AI ChatBot: Smart Assistant and enjoy it on your iOS. Simplify your life with a smart assistant chatgpt. The only difference between the two chatbots is the number of parameters used in their architecture. ChatGPT uses the transformer model with 12 layers and 117 million parameters. However, ChatGPT Plus is powered by a 24-layer transformer model with 1.5 billion parameters. https://medium.com/@ind/chatgpt-vs-chatgpt-plus-a-comparison-e8b233165def https://www.producthunt.com/stories/is-chatgpt-plus-worth-it-chatgpt-paid-vs-free https://drasmajabeen.com/chatgpt-for-scientific-research-paper-writing/ (c) Researchers Discover a More Flexible Approach to Machine Learning: https://www.quantamagazine.org/researchers-discover-a-more-flexible-approach-to-machine-learning-20230207/ (d) LangChain AI in Python https://python.langchain.com/docs/use_cases/code_understanding https://pypi.org/project/langchain/ (e) Chain-of-thought (CoT) AI ThoughtSource: A central hub for large language model reasoning data - A Nature paper: https://www.nature.com/articles/s41597-023-02433-3 (3) Shomu's Biology - Any topic in Biology, e.g: (a) Advanced Genetics - Lecture Part 1-13 - https://m.youtube.com/watch?v=3eKZ3ffUA2Y&t=5s Quantitative Genetics Problems - part 1-13 (b) Biostatistics Part 1-14 - https://m.youtube.com/watch?v=Ip7NDs1oDOo (c) Population Genetics Part 1-20 - https://m.youtube.com/watch?v=L7rpgdOsq_s Population Genetics problems and maths problems in population genetics part 1 to Chapter 8 problems - https://m.youtube.com/watch?v=fNZ9wBb3Opw (d) Ecology Part 1-19 - https://m.youtube.com/watch?v=mQ16jszjyFo (e) Epidemiology https://m.youtube.com/watch?v=sB4EBtPPDdw (f) Bioinformatics and Practical Bioinformatics - 42 videos in total Part 1-17 with practical bioinformatics aspects 1-23 - https://m.youtube.com/watch?v=w-uk-_TOgR0&list=PLb0WW0k29aHrF8aZzK17ORTesZsd-lING&index=1&pp=iAQB (g) Data Analysis in Medicine and Health Using R https://lnkd.in/dRg6jFu5 Other Bioinformatics Resources BabrahamBioinf videos: https://www.youtube.com/watch?v=mQ2KbMOJOXU NCBI: https://www.youtube.com/watch?v=QIZ8QH6JcC8 EMBL: https://www.youtube.com/playlist?list=PL67E0627174F36FCF Bioinformatics WorkBook: https://bioinformaticsworkbook.org/list.html#gsc.tab=0