QLS

Europe/Rome 2022-12-05 07:00:00 2022-12-16 21:00:00 ICTP-ICTS Winter School on Quantitative Systems Biology | (smr 3755) An ICTP Hybrid Meeting. You can submit your application for participation in presence or online. Machine Learning is increasingly being used in biology, as also in other physical and life sciences, to build predictive models of underlying processes. This school will combine the knowledge of biologists who work with large and heterogeneous data, of physicists who are experts at modelling such complexity, and of machine learning experts who bring in state-of-the-art methods in statistics. This integrated approach is essential to learn how to tackle these issues and gain a better understanding of key phenomena in biology. Lecturers: G. CARAVAGNA, University of Trieste, Italy P. CHAUDHARI, University of Pennsylvania, USA S. MUKHERJEE, MPG Leipzig, Germany E. PIASINI, SISSA, Italy R. POTESTIO, University of Trento, Italy G. SCHWEIKERT, University of Dundee, UK G. TKACIK, IST, Austria C. TOMASETTI, City of Hope, Los Angeles, USA C. VALLEJOS, University of Edinburgh, UK Scientific Advisory Committee: V. BALASUBRAMANIAN, University of Pennsylvania, USA A. CELANI, ICTP, Italy ​​S. JAIN, University of Delhi, India V.K. KRISHNAMURTHY, ICTS, Bangalore, India M. MARSILI, ICTP, Italy M. THATTAI, National Centre for Biological Sciences, India Grants: A limited number of grants are available to support the attendance of selected participants, with priority given to participants from developing countries. There is no registration fee. In person participation: As regards the COVID-19 policy, we advise to follow the updated rules available on the ICTP page Access Guidelines for Visitors. ICTP ICTP pio@ictp.it 5 Dec 2022 - 16 Dec 2022

Europe/Rome 2023-01-09 07:00:00 2023-01-20 21:00:00 Latin American Summer School in Computational Neuroscience - LACONEU 2023 | (smr 3813) The principal aim of LACONEU is to promote in Latin America the field of Computational Neuroscience through mathematical and computational tools and their applications in Biomedical Research and Artificial Intelligence. In LACONEU 2023 we expect to contribute to the development of the great potential, not always well exploited, that Latin America has in the field of numerical sciences: physics, engineering and mathematics. Along LACONEU 2023, we will encourage and motivate young graduate students and researchers to initiate interdisciplinary work on bioengineering and related problems. We will also encourage the creation of regional and international networks of collaborations reflected in joint research projects and theses. Topics: Network dynamics Learning in biological and artificial neural networks Knowledge representation Speakers: S. DURA-BERNAL, State University of New York, USA M. ESCOBAR, Universidad Técnica Federico Santa María, Chile P. GUEVARA, Universidad de Concepción, Chile A. INGROSSO, ICTP, Italy C. SAVIN, NYU, USA E. TAGLIAZUCCHI, Universidad de Buenos Aires, Argentina A. TREVES, SISSA, Italy Grants: A limited number of grants are available to support the attendance of selected participants, with priority given to participants from developing countries. There is no registration fee. Valparaiso - Chile ICTP pio@ictp.it 9 Jan 2023 - 20 Jan 2023

Europe/Rome 2023-02-20 07:00:00 2023-03-17 21:00:00 Spring College on the Physics of Complex Systems An ICTP Meeting in presence. ICTP and SISSA, in collaboration with the partner institutions of the International Master Course in Physics of Complex Systems (PCS), are organizing the Spring College on the Physics of Complex Systems from 20 February to 17 March 2023. Many complex systems in physics, biology, engineering and economics are characterised by a large number of interacting degrees of freedom, giving rise to a non-trivial collective behaviour. The theoretical and computational tools for a quantitative analysis of complex systems are often rooted in modern theoretical physics. The Spring College on the Physics of Complex Systems aims to expose students to a selection of topics at the forefront of research during an intensive, 4-week programme. The Spring College is part of the PCS Master programme and it is open to qualified Master and PhD students, and to young researchers. Candidates are required to solicit recommendation letters to be sent by their supervisors in support of their application. Rules for participation Participants with financial support from the ICTP and Master PCS students are  required to attend at least 80% of the courses and to take the final exam for each course. Certificates of attendance will be awarded only to participants who have attended at least 80% of the courses. Lecturers and Courses: J. KURCHAN, LPENS, École Normale Supérieure, Paris “Out of equilibrium statistical mechanics” K. KANEKO, University of Tokyo & Niels Bohr Institute, Copenhagen “Introduction to Universal Biology: Physicists' Approach to Multilevel Life Phenomena” M.BANDI, OIST, Okinawa “Surfactant dynamics - Complexity in a petri dish” F.PINHEIRO and J.DAVILA-VELDERRAIN, Human Technopole, Milan “Bottom-up vs. top-down systems biology: what's in the middle?” Tutors: M.L. Crespo, ICTP, Trieste T. Pham, Niels Bohr, Copenhagen Grants: A limited number of grants are available to support the attendance of selected participants, with priority given to participants from developing countries. There is no registration fee. In person participation: As regards the COVID-19 policy, we advise to follow the updated rules available on the ICTP page Access Guidelines for Visitors.   ICTP ICTP pio@ictp.it 20 Feb 2023 - 17 Mar 2023