#JobOffer | 2 weeks left to apply to our interdisciplinary Postdoc call!

We're recruiting up to 5 postdoc fellows! Check out our offers or submit you own project!

More info and to apply: http://centuri-livingsystems.org/recruitment/

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ظرفیت دکتری برای گرایش سیستم‌های پیچیده در دانشگاه شهید بهشتی

روزانه: ۲ نفر
کد: ۳۰۹۷

شبانه (نوبت دوم): ۱ نفر
کد: ۳۱۹۰

پردیس خودگردان: ۲ نفر
کد: ۳۲۳۴


داوطلبین عزیز از روز شنبه مورخ 98/01/31 تا روز سه‌شنبه مورخ 98/02/03 نسبت به ثبت كدرشته‌محل‌هاي انتخابي خود (حداكثر 50 كدرشته محل درصورت وجود) با توجه به رشته امتحاني كه در آن آزمون داده‌اند، در پايگاه اطلاع‌رساني سازمان سنجش اقدام نمايند.

دانلود دفترچه:
http://www6.sanjesh.org/download/phd98/cs/NoetPhdCsNotebook9802.pdf

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🕸 SBU Center for Complex Networks & Social Data Science

🕸 @CCNSD 🔗 ccnsd.ir
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Science audiences, misinformation, and fake news
“impossible to understand individual information processing and acceptance without taking into account social networks, information ecologies, and other macro-level variables”
https://t.co/dwmAC6wDuE

🔹 Predicting success in the worldwide start-up network.

arXiv:1904.08171v1 physics.soc-ph

Topics

Neural dynamics
Whole brain modelling
Statistical physics approach to neuroscience
Information processing
Coding and perception in neural systems
Machine Learning and Neural Networks
Functional Connectivity
Structural networks

School Structure and Content

The school is structured over 6 days, from Monday to Saturday. The main lectures we will address four different topics: 1) Neural dynamics: modelling; 2) Information processing, coding and perception in neural systems; 3) From human learning to machine learning and back; 4) Structural and functional networks in the brain. Each topic will include frontal lectures, tutorials and hands on projects (see Table below). A series of four seminars will complete each lessons showing the state of the art of related research on that topic.

http://neuroschool19.liphlab.com/

#سمینارهای_هفتگی
مرکز شبکه‌های پیچیده و علم‌داده اجتماعی دانشگاه شهید بهشتی (CCNSD)

🗣 زهرا کاظمی - دانشگاه شهیدبهشتی

⏰ دوشنبه، ۲ اردیبهشت ساعت ۱۶:۰۰
🏛 محل برگزاری: سالن ابن‌هیثم


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⭕️ مشتاق دیدار همه اقشار جامعه در مرکز هستیم. برای هماهنگی‌ با مسئول جلسه‌ می‌توانید با آقای محمد شرافتی ‌تماس بگیرید:‍‍‍‍
📞 @herman1

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🕸 SBU Center for Complex Networks & Social Data Science

🕸 @CCNSD 🔗 ccnsd.ir
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🏆 This Google Tutorial (96 slides total) on #MachineLearning is the best:

https://t.co/hsn9U4Yh9X

Skills you will gain
#Json Computer #Programming #Python #Sorting

https://www.coursera.org/specializations/python-3-programming?utm_source=promo&utm_medium=coursera&utm_campaign=targetingtest&utm_content=data-science

🎞 https://www.youtube.com/watch?v=6B2DRm00rMw

Social Animals:
How Evolution Shapes Human Social Behavior Why do some societies enforce monogamous marriage, while the majority allow polygyny? Why does inheritance flow from a man to his wife's children in some cases, and from a man to his sister's sons in others? And is this variation linked to variation in the degree of social complexity?

🔗 https://www.dideo.ir/v/yt/6B2DRm00rMw

💫 یادگیری «سیستم‌های پیچیده» رو از کجا و چه‌طور شروع کنیم؟!

خیلی وقته که از من پرسیده میشه که اگر بخوایم یادگیری سیستم‌های پیچیده رو شروع کنیم باید چیکار کنیم؟! طی این پست می‌خوام به این سوال جواب بدم!

http://www.sitpor.org/2018/05/complex-systems-basics/

An open Postdoc Position: to apply, please send your CV and names of two referees to me.
یک موقعیت پسادکتری:
برای تقاضای بررسی درخواست خود به عنوان پسادکتری، لطفا رزومه و آدرس دو نفر که شما را میشناسند به یکی از آدرس ایمیل های بالا ارسال نمایید.

🔹 https://colindcarroll.com/2019/04/11/hamiltonian-monte-carlo-from-scratch/

🌀 Complex systems can exhibit a rich phase structure and have a huge variety of macrostates that often cannot be inferred from the properties of the elements. This is sometimes referred to as emergence. Simple forms of emergence are, of course, already present in physics. The spectrum of the hydrogen atom or the liquid phase of water are emergent properties of the involved particles and their interactions.

⭕️ The theory of complex systems is the quantitative, predictive and experimentally testable science of generalized matter interacting through generalized interactions.

📗 Introduction to the Theory of Complex Systems Author(s): Stefan Thurner, Rudolf Hanel, Peter Klimek

🌀 Complex systems can exhibit a rich phase structure and have a huge variety of macrostates that often cannot be inferred from the properties of the elements. This is sometimes referred to as emergence. Simple forms of emergence are, of course, already present in physics. The spectrum of the hydrogen atom or the liquid phase of water are emergent properties of the involved particles and their interactions.

⭕️ The theory of complex systems is the quantitative, predictive and experimentally testable science of generalized matter interacting through generalized interactions.

📗 Introduction to the Theory of Complex Systems Author(s): Stefan Thurner, Rudolf Hanel, Peter Klimek

🎓Master in Physics of Complex Systems: The registration and enrolment period has begun. You can apply using the form at the website
https://t.co/znl562VNrh

Further information about the program and our fellowships can be found at https://t.co/mSbsemwUGa

♟ https://www.nature.com/articles/s41586-019-1138-y

IX GEFENOL Summer School on Statistical Physics of Complex Systems is open for applications. 🎓2-13 September in Santander. The dead line for application to the early bird registration is May 3rd.

https://t.co/UMsaB1W7VQ

♟ http://www.complexity-explorables.org/explorables/life/

🚗🚌 http://nautil.us/issue/71/flow/why-a-traffic-flow-suddenly-turns-into-a-traffic-jam

🎞 State-Space Compression, Coarse-Graining, and the Averaging of Life and Mind

Simon DeDeo

Abstract
Renormalization is a principled coarse-graining of space-time. It shows us how the small-scale details of a system may become irrelevant when looking at larger scales and lower energies. Coarse-graining is also crucial, however, for biological and cultural systems that lack a natural spatial arrangement. I introduce the notion of coarse-graining and equivalence classes, and give a brief history of attempts to tame the problem of simplifying and "averaging" things as various as algorithms and languages. I then present state-space compression, a new framework for understanding the general problem. At the end, I present recent empirical results, in an animal social system, that show evidence for the coupling of scales: the reaction of coarse-grained facts about a system "downwards" to influence the microphysics.


🔗 http://www.perimeterinstitute.ca/videos/state-space-compression-coarse-graining-and-averaging-life-and-mind