BME DOC📚
کانالی برای جزوه...کلاس درسی...کتاب و هر چیز اموزشی مربوط به مهندسی @BMEDOC_ADMIN Support Our Mission 🤝🏻 Donate: www.coffeete.ir/BMEDOC
Ko'proq ko'rsatish📈 Telegram kanali BME DOC📚 analitikasi
BME DOC📚 (@bme_doc) Forsiy til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 10 132 obunachidan iborat bo'lib, Taʼlim toifasida 19 739-o'rinni va Eron mintaqasida 30 982-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 10 132 obunachiga ega bo‘ldi.
14 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -14 ga, so‘nggi 24 soatda esa 0 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 21.64% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 15.87% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 2 193 marta ko‘riladi; birinchi sutkada odatda 1 608 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 5 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent مهندسی, امیرکبیر, دانشکده, تحصیل, ریاضی kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“کانالی برای جزوه...کلاس درسی...کتاب و هر چیز اموزشی مربوط به مهندسی
@BMEDOC_ADMIN
Support Our Mission 🤝🏻 Donate:
www.coffeete.ir/BMEDOC”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 15 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taʼlim toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.
I am looking for a new Ph.D. student in robotics for my lab in Bonn. If you are interested, please apply by January 18, 2025. The Photogrammetry & Robotics Lab (Stachniss-Lab) at the University of Bonn, Germany, headed by Prof. Dr. Cyrill Stachniss, is looking for a motivated and highly capable Ph.D. student (f/m/d) and explicitly encourages women to apply. TYPE OF POSITION: Fully funded position (E13), 100% employment APPLICATION DEADLINE: January 18, 2025 TARGETED START DATE: Marco or April 2025 LOCATION: Bonn, Germany OUR EXPECTATIONS: We are looking for highly motivated and highly capable team players who want to earn a Ph.D. degree in engineering and work with mobile robots. The Ph.D. student's main goals should be to develop novel robotic solutions, push the state of the art in robotics and perception forward, and disseminate their findings. This involves the following: First, developing new solutions to relevant problems, involving theoretical contributions as well as coding. Second, evaluating the proposed systems using real sensor data, running them on a real robot, and the ability to demonstrate the approach live. Third, disseminating the results in the form of papers at high-quality conferences/journals and by publishing code. The candidates should identify themselves with our research lab and their project, be interested in working with real robots and sensors, support the other team members, and engage in and establish joint activities. Finally, the Ph.D. students should support our teaching activities and guide other students. REQUIREMENTS: * Master's degree in computer science, robotics, geodesy, electrical engineering, or similar (a B.Sc. degree alone is not sufficient). * A background (e.g., MSc thesis, specialization, or in-depth courses) in robotics, machine learning, or computer vision/photogrammetry. * Strong coding capabilities. Relevant languages are C++ and Python. * Very good English language skills. Knowledge of the German language is not required. HOW TO APPLY: * Send your application as a single PDF file (only this information will be considered), smaller than 8 MB by email to Cyrill Stachniss (cyrill.stachniss@igg.uni-bonn.de) before the deadline indicated above. * Your single PDF file should contain: ** (a) Your CV (approx. 2-6 pages) ** (b) List of courses you have attended that are related to topics of the lab ** (c) Motivation letter (max 1 page) ** (d) Transcript of records ** (e) Link to the PDF file of your MSc thesis and/or papers you may have written ** (f) Links to your personal website, your Github page, and Google Scholar profile ** (g) Name, email, and phone number of two referees (professors or senior researchers you have worked with) to whom we can reach out
Endi mavjud! Telegram Tadqiqoti 2025 — yilning asosiy insaytlari 
