اگهی جذب پژوهشگر فوق دکتری تمام وقت

از فارغ التحصیلان دکتری علوم اعصاب، هوش مصنوعی، کامپیوتر، فیزیک و مهندسی پزشکی که علاقمند به همکاری با گروه علوم و فن اوریهای مغز زیر نظر دکتر حسین استکی هستند دعوت
میشود رزومه علمی خود را به ادرس ایمیل ذیل ارسال نمایند
cognitive.esteky@gmail.com

Fully funded #PhD position to study social/occupational mobility using statistical social network methods at the University of Zurich.

https://jobs.uzh.ch/offene-stellen/1-phd-candidate-studying-social-occupational-mobility-using-social-network-methods/15d5de03-b739-4774-bcdd-ecc30109e6db

41st Finnish Summer School on Probability and Statistics in Lammi, Finland 22-26.5.2023

https://fdnss.fi/41st-finnish-summer-school-on-probability-and-statistics/

Minicourses:

Beatrice Acciaio (ETH Zurich) Stochastic optimal transport and applications in mathematical finance
Persi Diaconis (Stanford) The Markov Chain Monte Carlo Revolution : Recent Progress
Yuliya Mishura (Taras Shevchenko National University of Kyiv): Standard and fractional stochastic differential equations of CIR and CKLS type: properties of solutions, reflection and statistical inference

Distinguished guest lecture by Susan Holmes (Stanford): Statistics and Geometry for Biological Systems

Opinion | Noam Chomsky: The False Promise of ChatGPT - The New York Times
https://www.nytimes.com/2023/03/08/opinion/noam-chomsky-chatgpt-ai.html

Open call for a fully-funded #PhD position at the Kavli Institute for Systems Neuroscience in a multidisciplinary team led by Tobias Navarro Schroeder and myself. Join us to study fundamental mechanisms of #memory through the prism of #TransientGlobalAmnesia using advanced #7Tesla (f)MRI.

🗓 Apply by March 31 https://lnkd.in/dyWHvje4

The #PhD Program in Neuroscience of AMU #NeuroSchool_mrs offers 3 PhD scholarships to students who have validated a outside of France

https://t.co/q7jnDpu7de

I propose a PhD project on "Higher-order interactions in human brain networks supporting causal learning"

Two new #PHD calls! Deadline April 1st.

Topics: Science of Science / Algorithmic fairness, and Predictability of Social Systems
https://nerds.itu.dk/2023/03/08/two-new-phd-calls-application-deadline-april-1st/

#PHD POSITION IN MATHEMATICAL STATISTICS

https://workingat.vu.nl/ad/phd-position-in-mathematical-statistics/dx6kg8

There are #PhD and #PostDoc positions available in my group. If you are interested, please get in contact.

https://michaelschaub.github.io/

Michael Schaub - RWTH Aachen University
Computational Network Science

Neuroscience #postdoc position to study substance use disorders

https://jobrxiv.org/job/purdue-university-27778-neuroscience-postdoctoral-position-to-study-substance-use-disorders/?feed_id=40332

The Kimbrough lab at Purdue University is seeking a Postdoctoral Researcher interested in substance use disorders.

Dynamical Foundations of Many-Body Quantum Chaos
March 13, 2023 to April 14, 2023
Institut Pascal

https://indico.ijclab.in2p3.fr/event/8880/

Chaotic dynamics poses rather vexing conundrums for quantum mechanics, as was already presciently noted by Einstein in 1917. The first actual description of a quantum chaotic system may well have been Bohr's compound nucleus in 1936. However, Quantum Chaos really came into being with Wigner's introduction of random matrix theory (RMT), aimed at understanding physics related to nuclear reactor design. RMT, with its focus on statistical properties of the system's Hamiltonian, represented a major paradigm shift. Quantized chaotic systems were recognized to behave in many universal ways, completely independently of their detailed description. Since its origin, RMT has seen applications in an extraordinarily broad range of fields, well beyond the boundaries of physics.

However, this origin of quantum chaos in the context of strongly interacting nuclear many-body (MB) systems did not straightforwardly lend itself to a concrete association with classically chaotic dynamics. After a considerable period focusing on single-particle systems, the field is now returning to strongly interacting MB systems. The past decade has witnessed an accelerating resurgence of “many-body quantum chaos”, which has seeped into a vast array of forefront physics research.

If you are interested in joining the SISSA Cognitive Neuroscience #PhD program, please contact any of the professors listed on the faculty members page for further discussion about our research and admission process.

The program will accept new students through two rounds of admission:
- Spring deadline: 31 March 2023.
- Fall deadline: 31 August 2023.

https://phdcns.sissa.it/admission-procedure

#PhD candidate in Marine Neuroscience

https://www.jobbnorge.no/en/available-jobs/job/241142/phd-candidate-in-marine-neuroscience

We have two open positions (1 #PhD, 1 #postdoc) in biostatistics to develop methodology for analyzing high-dimensional data and understand inter-individual variation in cardiometabolic responses to dietary interventions.

https://www.jobbnorge.no/en/available-jobs/job/241782/phd-candidate-in-biostatistics

https://www.jobbnorge.no/en/available-jobs/job/241871/postdoctoral-fellow-in-biostatistics

The landscape of multiphase flows
KITP Blackboard Talk by Douglas Jerolmack (Univ. of Penn)

https://youtu.be/ZcxDRWtBAz0?list=PLTz4HiOhksNurwhQt5gHkGtNf7Op98bsJ

Artificial Intelligence: The fourth industrial revolution

https://slideslive.com/38982675/artificial-intelligence-the-fourth-industrial-revolution?ref=speaker-49758

Controlling complex networks with complex nodes

Real-world networks often consist of millions of heterogenous elements that interact at multiple timescales and length scales. The fields of statistical physics and control theory both contribute different perspectives for understanding, modelling and controlling these systems. To address real-world systems, more interaction between these fields and integration of new paradigms such as heterogeneity and multiple levels of representation will be necessary. It may be possible to expand models from statistical physics to integrate the notion of feedback (both positive and negative) and to extend control theory formulations to more mesoscopic analysis over averages of collections of degrees of freedom. There is also the need to integrate theoretical models, machine learning and data-driven control methods. We review recent progress and identify opportunities to help advance understanding and control of real-world systems from oscillator networks and social networks to biological and technological networks.

https://www.nature.com/articles/s42254-023-00566-3

Summer Intern, Physics-informed Machine Learning
DCL · HUAWEI HELSINKI R&D CENTER, HUAWEI TAMPERE R&D CENTER

https://huaweifinlandrnd.teamtailor.com/jobs/2461969-summer-intern-physics-informed-machine-learning

Does GPT-4 Really Understand What We’re Saying?
One question for David Krakauer, an evolutionary theorist and president of the Santa Fe Institute for complexity science.

https://nautil.us/does-gpt-4-really-understand-what-were-saying-291034/