QLS

Europe/Rome 2022-09-19 08:00:00 2022-09-30 22:00:00 School on Information, Noise, and Physics of Life | (smr 3736) Complex signals are ubiquitous in non-equilibrium physics, biophysical processes, and in the noise of measurement devices. The school will provide advanced tools from information theory, statistical physics and machine learning to offer participants key knowledge on stochastic analysis and modelling. Topics: Control theory                        Entropy foundations Mean field theory and inference methods Information theory Biophysics Stochastic thermodynamics   Speakers: Ada ALTIERI (Université de Paris, France) Andre C. BARATO (University of Houston) -- online -- John BECHHOEFER (Simon Fraser University, Canada) Jan KORBEL (Complexity Science Hub Vienna, Austria) Juan MR PARRONDO (Universidad Complutense de Madrid, Spain) Dimitri PETRITIS (Université de Rennes, France) Elena RUFEIL FIORI (Universidad Nacional de Córdoba, Argentina) Iva TOLIC (Ruder Boskovic Institute Zagreb, Croatia) -- online colloquium   Volunteers: Bogdan Djordjević (MISANU, Belgrade, Serbia), Katarina Djordjević (PMF, University of Nis, Serbia), Lazar Stojković (PMF, University of Nis, Serbia) Deadline for submitting applications: 7 AUGUST 2022 Nationals of countries that do not require visa to enter Serbia can submit applicaitons until 15 AUGUST 2022     Nis - Serbia ICTP pio@ictp.it 19 Sep 2022 - 30 Sep 2022

Europe/Rome 2022-10-31 07:00:00 2022-11-08 21:00:00 ICTP-KIAS School on Statistical Physics for Life Sciences | (smr 3746) Life can be thought of as a type of stochastic information processing realized out of thermodynamic equilibrium. Living systems indeed consume energy to sustain order and information flow in fluctuating environments. Recent advances in non-equilibrium statistical physics and information theory offer a new framework to unravel the underlying principles of the dynamical processes in living matter. As an example of the developing interface between biology, information theory and statistical physics, a recently discovered new principle, the thermodynamic uncertainty relation, quantifies the energy-precision trade-off of biological processes and its physical bounds. Another important example of the richness of this interface is offered by machine learning, which couples ideas from neuroscience, computer science and statistical physics. The new language developed in modern statistical mechanics is then expected to play a key role in the understanding of how order, and eventually life, emerges from disorder. It has been widely demonstrated that statistical mechanics is an essential tool for the development of the above subjects, and great interest in these subjects is currently shared by statistical physics and biophysics communities in Korea. The 2022 ICTP-KIAS School on Statistical Physics for Life Sciences aims to introduce the next generation of students and researchers to these important themes: the quantitative understanding of life sciences, machine learning, and data science from the perspective of modern statistical physics. In addition to the pedagogical lectures, the school includes a small workshop for sharing recent research progresses among scientists at the frontier of this field. The school aims at providing unique opportunities for (junior) scientists in the Asia Pacific region to learn modern statistical physics and its applications to quantitative life science, machine learning, and data science. The 2022 ICTP-KIAS School will contribute to the cross-fertilization between physics and biology as well as to long-term scientific collaborations between researchers in Asia and ICTP scientists. Topics Information theory, machine learning and statistical physics Statistical mechanics of machine learning Information theory and criticality Statistical mechanics and reasoning Out-of-equilibrium statistical physics and life Biochemical rhythms and thermodynamics Non-equilibrium thermodynamics Information thermodynamics Stochastic thermodynamics Speakers (to be confirmed): Changbong Hyeon (KIAS) Junghyo Jo (Seoul National Univ) Antonio Celani (ICTP) Kunihiko Kaneko (Niels Bohr Institute) Online Tetsuya Kobayashi (Univ of Tokyo) Hyunggyu Park (KIAS) Yongju Baek (Seoul National Univ) Yong Woon Kim (Korea Advanced Institute for Science and Technology) Jae-Hyung Jeon (Pohang University of Science and Technology) Depk-Sun Lee (KIAS) Vipul Periwal (NIH) Pankaj Mehta (Boston Univ) Takahiro Sagawa (Univ of Tokyo) Leihan Tang (Hong Kong Baptist Univ) DEADLINE to submit applications: 31 AUGUST, 2022     Seoul - Republic of Korea ICTP pio@ictp.it 31 Oct 2022 - 8 Nov 2022

Europe/Rome 2022-12-05 07:00:00 2022-12-16 21:00:00 ICTP-ICTS Winter School on Quantitative Systems Biology | (smr 3755) ICTP ICTP pio@ictp.it 5 Dec 2022 - 16 Dec 2022