Complex Systems Studies
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What's up in Complexity Science?! Check out here: @ComplexSys #complexity #complex_systems #networks #network_science 📨 Contact us: @carimi
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+147 днів
+1730 день
Архів дописів
💰Interested in pursuing an interdisciplinary #PhD in networks/complex systems?
Check out https://t.co/XK0pmeHQfl
💰Work with me (& my awesome collaborators) @ Stanford! Two open positions: (1) a Program Manager in bio, policy & intl security (https://t.co/5eZrxlvw2V) & (2) a #Postdoc in science of science & innovation policy, risk management (https://t.co/cQBQTqmsXi)
Explore with caution: mapping the evolution of scientific interest in physics
“existence of the “essential tension” with scientists balancing between exploring the boundaries of their area and exploiting previous work”
By Aleta et al.
https://t.co/pV9kkc8G0t
The interconnected wealth of nations: Shock propagation on global trade-investment multiplex networks
“model that couples a spreading dynamics, describing how economic distress propagates between connected countries, with an internal contagion mechanism”
https://t.co/EH543qdSWa
در این توییت و پس و پیشش نکتههای مهمی مطرح شده:
https://twitter.com/tiagopeixoto/status/1171804602221715456?s=19
Lenka Zdeborova - Statistical physics modelling of machine learning
https://www.aparat.com/v/W21xY
💸 Currently looking for a postdoc and a PhD student to start Jan 2020ish.
Postdoc on statistical principles of synaptic plasticity, app deadline 15th Sept: https://t.co/9FKPAbq7rC
PhD student (must be UK citizen or here 3 years) on anything I work on
Please contact me to discuss.
🧠 A nice review of deep learning, from perspective of neuroscience & vision:
https://t.co/ClosQPCuZR
💸 2-year postdoc position in optimization for statistical learning at Umea University. Applications close September 30. See https://t.co/ZwNkoZ1kc7 for details.
💸 I will be accepting a graduate student for Fall 2020! If you know a motivated student interested in studying the development and dynamics of perception/action and human interaction using approaches from complex dynamical systems theory, please encourage them to reach out to me.
https://t.co/zkZOYs7rj9?amp=1
💶 Job position opened in my lab at @criparis ! I am looking for a postdoc or research engineer in the areas of Network Science, Data Science, Science of Science & Computational Social Science. More info here:
https://t.co/t5DL0stJzU.
While we sleep, the brain replays memories of our experiences during the day. This Nature Neuro Review provides a concise overview of how the sleeping brain transforms and builds persisting memories through this process. https://t.co/yG0XnEZ7ot
🔺 مقدمهای بر بازبهنجارش - زنجیرههای مارکف
عباس کریمی
هفته دوم - ۳) مدل بنیادیتر برای داده ریز-دانهبندی شده
🎞 https://www.aparat.com/v/Jlt8P
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جزئیات بیشتر در مورد این دوره:
🔗 http://www.sitpor.org/complex-systems/renormalization/
~~~~~~~~~~~~~~
🔺 مقدمهای بر بازبهنجارش - زنجیرههای مارکف
عباس کریمی
هفته دوم - ۲) ریاضیات زنجیرههای مارکف
🎞 https://www.aparat.com/v/XgBIc
~~~~~~~~~~~~~~
جزئیات بیشتر در مورد این دوره:
🔗 http://www.sitpor.org/complex-systems/renormalization/
~~~~~~~~~~~~~~
🔺 مقدمهای بر بازبهنجارش - زنجیرههای مارکف
عباس کریمی
هفته دوم- ۱) سریهای زمانی و زنجیرههای مارکف
🎞 https://www.aparat.com/v/YV0nR
~~~~~~~~~~~~~~
جزئیات بیشتر در مورد این دوره:
🔗 http://www.sitpor.org/complex-systems/renormalization/
~~~~~~~~~~~~~~
🎞 «مقدمهای بر بازبهنجارش» هفته دوم: زنجیرههای مارکف
در این جلسه به سراغ زنجیرههای مارکف میروم و در مورد درشتدانهبندی کردن سریهای زمانی صحبت خواهم کرد. به فضای مدلها و تغییرات پارامترها پس از بازبهنجارش خواهم پرداخت و به نقاط ثابت، کاهش ابعاد فضا و تغییر کلاسها اشاره خواهم کرد.
http://www.sitpor.org/2019/09/renorm-week2-mc/
⭕️ پیشنهادهایی برای دانشجویان تحصیلات تکمیلی سیستمهای پیچیده
تجربه من از دوران کارشناسی ارشد سیستمهای پیچیده در دانشگاه شهید بهشتی چیزهای مختلفی بهم یاد داد. شاید بعضی از این تجربهها به کار شما هم بیاد اگر که به تازگی دوران کارشناسی ارشد یا دکتری خودتون رو در زمینه سیستمهای پیچیده در یکی از مراکز آموزش عالی شروع کرده باشید.
🔗 http://www.sitpor.org/2019/09/complex-gradschool/
This Fall CUBoulder, I'm excited to teach a completely new undergrad course called "Biological Networks." For it, I'm writing new lecture notes on network analysis and modeling, which I'll try to share as I finish them. Constructive feedback is welcome. https://t.co/AETs0h3Vhr
We are seeking 5 PhD candidates for our AI4Science initiative, a multidisciplinary collaboration of various research institutes at the Faculty of Science of the University of Amsterdam (the Netherlands). The aim is to analyze complex scientific data sets by applying data-driven techniques based on recent breakthroughs in machine learning, combined with model-driven
approaches that can deal with the specifics of scientific data. It will start off with the following�five research projects, each one dealing with the fundamental question of how to recognize and extract the scientifically important information from a large stream of noisy data:
* classifying radio phenomena in real time with streaming machine learning;
* unraveling chemical structure-property relationships from two-dimensional liquid chromatography and mass spectrometry;
* graphical models to understand and predict bird migration in Europe;
* accelerating gravitational wave signal discoveries and analyses with deep learning;
* causal discovery to reveal complex gene regulation networks from vast transcriptome data sets.
The AI4Science Lab will be part of the Amsterdam Machine Learning Lab (AMLab), one of the larger groups within the Informatics Institute (IvI), headed by Max Welling. Scientific directors of AI4Science are Joris Mooij and Bernd Ensing, and lab manager is Patrick Forré. Each project will be done in collaboration with experts from the respective scientific domain from various research
institutes.
For further information, see the official job advertisement at:
https://www.uva.nl/shared-content/uva/en/vacancies/2019/09/19-559-five-phd-candidates-in-artificial-intelligence-for-science.html
The application deadline is October 1st, 2019.
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Joris Mooij | Associate Professor
Amsterdam Machine Learning Lab (AMLab)
Informatics Institute | University of Amsterdam
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Science Park 904 | 1098 XH Amsterdam
+31 (0)20.525.8426
http://jorismooij.nl/
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