دفاع از پایان نامه کارشناسی ارشد
گرایش فیزیک آماری و سامانه های پیچیده

عنوان:
روش یادگیری ماشین برای تعیین گذار فاز در پدیده های بحرانی

سخنران:
علی حقیقت گو

اساتید راهنما:
دکتر سید محمدصادق موحد
دکتر نیما خسروی

زمان: سه شنبه ۲۸ بهمن ساعت ۱۳:۰۰

لینک شرکت در جلسه مجازی:
http://194.225.24.96/defa-physics-1
همچنین با اسکن qr code موجود در تصویر میتوانید لینک را دریافت کنید.

از طریق نرم افزار adobe connect میتوانید در این جلسه حضور یابید.
adobe connect_windows

adobe connect_mac

adobe connect_android

با نصب نرم افزار و کپی کردن آدرس جلسه مجازی در نرم افزار میتوانید بصورت مهمان وارد جلسه شوید.

💰 Doctor of Philosophy in Network Science

Application deadline is February 28, 2021. Please note that this is later than the general CEU application deadline. Anyone applying to our #PhD program before or on Feb 28 (until 23:59 CET) will be automatically considered for a scholarship.

We offer one of the most generous and accessible scholarship schemes, available to candidates from any country ranging from tuition awards to stipends.

Program Denoscription
The PhD program in Network Science is a research-oriented program that provides the only PhD degree in this field in Europe. Network science provides essential tools to study complex systems including society online and offline, the economy or urban traffic. Accordingly, the program provides hands-on experience with large datasets characterizing those systems and the skills needed to analyze them. At the same time, network science is a rapidly developing new discipline with ample opportunities to do fundamental research. Within the PhD program there are possibilities to carry out research either in applied or in theoretical-methodological directions.

The PhD program is open for students with a wide variety of backgrounds. Presently we have students with MA/MSc in math, physics, sociology, psychology, architecture, economics and political science. The Program is strongly interdisciplinary with a special emphasis on quantitative methods and data-oriented research. Those who have weaker math backgrounds will have to participate in a pre-session course and will need some additional effort.

⛳️ We do NOT request a GRE test.

https://networkdatascience.ceu.edu/phd-program-network-science-ceu

💰 Associate professor position (tenured) on Foundations of Data Science in KTH Royal Institute of Technology.

More details and online application: https://t.co/qxbxoiEsdk

Deadline April 15, 2021.
#DataScience

"Applicability of Random Matrix Theory in Deep Learning" (by Nicholas P Baskerville, Diego Granziol, Jonathan P Keating):

https://t.co/fB7GD12Ujw

Learn the basics of social network analysis in this free webinar at @UCONNmhealth:

Introduction to Social Network Analysis in mHealth and Social Media Research

Tues, Feb 23 at 11am ET

Register: https://t.co/hxqlq4SMa2

—————————————
🕸 مرکز شبکه‌های پیچیده و علم داده اجتماعی دانشگاه شهید بهشتی

🕸 @CCNSD 🔗 ccnsd.ir
—————————————

💰 Hey, I am hiring at UCNZ UCNZMaths
• 1 fully paid, 3 years, #PhD scholarship
• a bunch of Research Assistant positions

Us: Data Science analysis of Social Networks with a strong Social Justice focus (yes, we're SJW).
You: curious, willing to learn transdisciplinary.

Our research methodology is maths, data and code heavy: hashtag #complexnetworks #DeepLearning #julialang. We also dialogue a lot with other disciplines and take ethics seriously.

The PhD is your adventure: you don't need to know everything in advance; can mix and match.

https://www.gvdallariva.net/

"Information theory of networks"

https://youtu.be/WeZNyQUYnz0

📺 “multilayer modeling of complex systems: from cells to societies”

https://t.co/rfnVYSGvxK

💉 What does 95% vaccine efficacy really mean?
Important, frequent misconception addressed here:

https://t.co/hS4syhoFZP

APPLY | Applications for the Summer Institute in Computational Social Science @Princeton led by @msalganik and @chris_bail are due Feb 22. Institutes will also be held at 19 partner locations organized by SICSS alumni & the broader SICSS community.

https://t.co/QeU99khg7y

Ten simple rules for navigating the computational aspect of an interdisciplinary PhD

https://t.co/yLKnCoHAsu

Can you speak Python?

Are you familiar with the Python programming language, along with the basic packages for scientific computing (NumPy/SciPy/Matplotlib/Pandas)?

To test your knowledge of these basics (and point you to relevant documentation to fill in any gaps), Aalto Scientific Computing team has designed the Gizmo challenge.

https://github.com/wmvanvliet/gizmo

💰 We have postdoctoral openings on a project to integrate dynamical systems and machine learning ideas for understanding, prediction and control of chaotic/stochastic flow processes.

To apply, please send a CV, list of references and pdfs of publications to mdgraham@wisc.edu.

#postdoc

💰 Our website now has a "Positions" page, currently with 2 open calls at @ITUkbh:
1) #PhD Open Call 2021,
2) Asst./Assoc. Professor in data science and machine learning. Apply and do exciting research with us!


https://t.co/6tDJ38Hja0

A new, real-world Israeli study shows the Pfizer-BioNTech vaccine is almost 90% effective at stopping COVID-19 transmission (not just symptoms) https://t.co/DND4pzz2ga

💰 #Postdoc or RA (Paris, France)
Agent based modelling COVID-19 outbreak analysis
with @chpoletto and Pierre-Yves Boëlle
at @INSERM @MedecineSU @iplesp
More details: https://t.co/Uf34Vxz5gb

Applied Data Science for Policy Research
Special Course in Complex Systems - 16.03.2021-28.05.2021

https://mycourses.aalto.fi/course/view.php?id=30748

Course Denoscription
This is an applied data science course where students will learn how to collaborate with domain experts. With the complexity of today’s policy issues as well as the increasing availability of rich but messy data, there is demand for researchers who are skilled in data science and quantitative approaches to studying complex systems. Cross-domain communication is key to successful collaboration, but it is a difficult and often missed part of data science training. In this course, students will take a hands-on approach to learning these skills by working as data scientists on policy research teams. We will specifically be working with social science and policy researchers studying climate governance, but the skills learned should be broadly applicable to research scenarios in the public, academic, and private sectors. The domain experts will be social science students from the University of Helsinki enrolled in a companion course on climate governance.