IFISC offers up to 7 #PhD positions within the Doctoral INPhINIT Fellowships Programme. The opportunity you are looking for!

https://fundacionlacaixa.org/en/inphinit-doctoral-fellowships-incoming

Deadline: 25/01/23

I'm looking for a #PhD student who will work with me at VUamsterdam on mathematics and network science!

The deadline is March 1st. Details on the position can be found at https://workingat.vu.nl/ad/phd-position-in-the-mathematics-of-network-science/g979oo

For bread, think steering wheels. For custard, think toothpaste.

Oxford Christmas Public Lecture

Watch on Tuesday 20 December at 5pm and any time after:
https://www.youtube.com/c/OxfordMathematics

A Mathematical Journey through Scales - Martin Hairer
Oxford Mathematics Public Lecture

The tiny world of particles and atoms and the gigantic world of the entire universe are separated by about forty orders of magnitude. As we move from one to the other, the laws of nature can behave in drastically different ways, sometimes obeying quantum physics, general relativity, or Newton’s classical mechanics, not to mention other intermediate theories.

Understanding the transformations that take place from one scale to another is one of the great classical questions in mathematics and theoretical physics, one that still hasn't been fully resolved. In this lecture, we will explore how these questions still inform and motivate interesting problems in probability theory and why so-called toy models, despite their superficially playful character, can sometimes lead to certain quantitative predictions.

Professor Martin Hairer is Professor of Pure Mathematics at Imperial College London. He was awarded the Fields Medal in 2014.

https://youtu.be/TOY52LF_ZTA

Sixth Groningen Spring School on Cognitive Modeling
– ACT-R, Nengo, PRIMs –

Date: 27-31 March 2023
Location: Groningen, the Netherlands
Fee: € 305 (late fee after February 26 will be € 355)
More information and registration: www.cognitive-modeling.com/springschool
____________________

Dear colleagues and students,

We are excited to announce the sixth Spring School on Cognitive Modeling in Groningen, from 27-31 March 2023!

This time, the Spring School will cover three different modeling paradigms: ACT-R, Nengo, and PRIMs. Each of these topics consists of a series of lectures, as well as a number of hands-on exercises (tutorials).

Past years have shown that students get most out of the spring school if they really emerge themselves into one modeling paradigm. We therefore recommend you choose one topic for which you will attend both the lectures as well as the tutorials. In addition, you can select a second paradigm, for which you attend the lectures only.

To give students a broader picture, there will also be three guest lectures throughout the week. These lectures each give an introduction to yet another modeling paradigm: accumulator models (Leendert van Maanen), error-driven learning models (Jacolien van Rij), and dynamical systems (Herbert Jäger). Everyone is encouraged to attend those lectures.

To round of the program, there will be a poster session, where students present themselves and their research, as well as a city tour, and our (in)famous spring school dinner.

Registration is now open.

Please feel free to forward the information to anyone who might be interested in the Spring School.

We are looking forward to welcoming you (again) in Groningen,

The Spring School team
springschool@rug.nl

Up to 9 #PhD contracts will be offered soon IFISC mallorca, including one contract to work with me and Miguel Cornelles at the interface of complex systems and machine learning. Please spread the word !! Details here 👉 lnkd.in/dEPy6fNq

اینجا کدهای کتاب
An Introduction to Modeling Neuronal Dynamics, Christoph Börgers 2017
را به صورت یک پکیج پایتون پیاده سازی کردم که میشه کدها رو به صورت آنلاین و بدون نصب پکیجی و مستقل از سیستم عاملی که استفاده می کنید اجرا کرد.
کتاب خوبی برای یادگیری هست. پکیج میتونه هنگام تدریس استفاده شود.

ده فصل از کتاب آماده شده. باقی فصل ها به زودی اضافه می شود.

https://github.com/Ziaeemehr/mndynamics/tree/main/mndynamics/examples

Defining physicists’ relationship with AI

As physicists are increasingly reliant on artificial intelligence (AI) methods in their research, we ponder the role of human beings in future scientific discoveries. Will we be guides to AI, or be guided by it?

https://www.nature.com/articles/s42254-022-00544-1

If you (or your students) are interested in #PhD or #postdoc positions at Aalto University on topics related to the Web & its impact on individuals/society, contact me!

http://www.juhikulshrestha.com/

How did complex systems emerge from chaos? Physicist Sean Carroll explains.

When you cast a visible light shadow you also cast a thermal shadow. But while the former disappear when you walk away, an infrared thermography shows you the latter staying on the wall.

[source: https://buff.ly/3RsB6r4]

"A Compact Introduction to Fractional Calculus" (by Alexander I. Zhmakin): https://arxiv.org/abs/2301.00037

"A Compact Introduction to Fractional Calculus is presented including basic definitions, fractional differential equations and special functions."

"Information content of note transitions in the music of J. S. Bach"
Suman Kulkarni, Sophia U. David, Christopher W. Lynn, Dani S. Bassett https://arxiv.org/abs/2301.00783

Music has a complex structure that expresses emotion and conveys information. Humans process that information through imperfect cognitive instruments that produce a gestalt, smeared version of reality. What is the information that humans see? And how does their perception relate to (and differ from) reality? To address these questions quantitatively, we analyze J. S. Bach's music through the lens of network science and information theory. Regarded as one of the greatest composers in the Western music tradition, Bach's work is highly mathematically structured and spans a wide range of compositional forms, such as fugues and choral pieces. Conceptualizing each composition as a network of note transitions, we quantify the information contained in each piece and find that different kinds of compositions can be grouped together according to their information content. Moreover, we find that Bach's music is structured for efficient communication; that is, it communicates large amounts of information while maintaining small deviations of the inferred network from reality. We probe the network structures that enable this rapid and efficient communication of information -- namely, high heterogeneity and strong clustering. Taken together, our findings shed new light on the information and network properties of Bach's compositions. More generally, we gain insight into features that make networks of information effective for communication.

Excellent video on Chaotic Dynamical Systems
https://www.youtube.com/watch?v=PDeN3iCtyNY

Playlist
Course Website: http://faculty.washington.edu/sbrunton/me564/

A life in statistical mechanics
An oral history interview on the lifelong involvement of Joel Lebowitz in the development of statistical mechanics.

Part 1: From Chedar in Taceva to Yeshiva University in New York
https://arxiv.org/abs/1702.04810

#Postdoc position on Network Epidemiology

https://iddjobs.org/jobs/postdoctoral-research-position-on-network-epidemiology?s=09

سلام
مثل سال‌های گذشته از هفته دیگه ما کلاس فشرده «روش‌های ریاضی در علم شبکه» رو در آلتو خواهیم داشت. این درس برای دانشجویان کارشناسی ارشد و دکتری رشته‌های محاسباتی طراحی شده. دوره شامل ۶ قسمت و هر قسمت متشکل از یک جلسه درس و دو جلسه حل تمرینه، یکی برای رفع اشکال و دیگری برای حل و فصل مسائل به صورت کامل. این درس امتحان نداره. در عوض یک پروژه برای تحویل دادن داره. اسلایدها و ویدیو ضبط شده هر جلسه کلاس درس (از سال گذشته) به همراه تمرین‌ها برای همگان به رایگان در دسترسه. نیومن، منبع اصلی این درسه و جزئیات بیشتر در نشانی زیر موجوده:
https://mycourses.aalto.fi/course/view.php?id=36677

من معلم حل تمرین این درس هستم. اگر کسی پیش‌نیازهای لازم رو بلده و علاقه‌مند به گذروندن این دوره‌س می‌تونه کلاس رو دنبال کنه و پاسخ تمرین‌ها و پروژه درس رو به ایمیل شخصی من ارسال کنه. من تلاشم رو می‌کنم تا در اولین فرصت اون‌ها رو تصحیح کنم و نتایجشون رو اطلاع بدم. اگر کسی مطابق با استاندارد این درس، دوره رو با موفقیت گذروند می‌تونم بهش دست‌خطی بدم که اگر جایی ارزش داشت، ازش استفاده کنه. بچه‌های رشته سیستم‌های پیچیده احتمالا این درس رو جذاب خواهند یافت :)

Mathematical Methods for Network Science
Department of Computer Science - Aalto University

Topics:
Basic models and the typical approaches in network science
Probability generating functions, Galton-Watson process, percolation threshold
Component size distributions (using PGF's)
Network evolution models and processes on networks
Exponential random graphs, block models
Message passing methods on complex networks

اگر کسی در دانشگاه‌های مختلف دوست داره به من کمک کنه، لطفا بهم پیام بده. @carimi

عباس ریزی abbas.sitpor.org

Notre Dame lecture about the dawn of the random walk

How can you stop a pandemic from sweeping the world? Can ancient Greek proportions predict the stock market? And why is learning to play chess so much easier for computers than learning to read a sentence?
https://youtu.be/r21X597Fays

"Introduction to Julia" presented by Jose Storopoli at JuliaCon 2022
Recording https://youtube.com/watch?v=uiQpwMQZBTA
This workshop is geared towards anyone who wants to start using Julia. It will be an extremely accessible overview of Julia.

Open #PhD position on machine learning and AI for public health. Come work with us! Details and how to apply here: https://soundai.sorbonne-universite.fr/dl/subjects/s/ff30ae/r/UUjfFIYDQSO6MIJTUPWMyA

deadline Jan 31