Disorder plays a central role in the theoretical description of a rich variety of systems spanning several disciplines — soft and hard condensed matter, biology, information science and engineering. Today, there is a surplus of enthusiastic and capable students with a diverse background who are eager to receive systematic training on powerful theoretical methods and exciting recent developments in the field. One of the goals of our school is to reach a broad audience that includes students interested in complexity or bio-inspired applications, as well as information science and quantum materials. Our school will establish a common forum where theories of general interest can be learned and discussed, catalyze the nucleation of new research lines in São Paulo and Brazil, and expose students to a full breadth of intellectual opportunity in the field of disordered systems.

As a São Paulo School of Advanced Science, funds are available for travel and local expenses of Master’s and PhD students from not only South America but also from other continents.

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The National Autonomous University of Mexico, via its Research Group on Philosophy of Computing, is proud to invite you to participate in the International Conference on Anticipatory Systems and Rosennean Complexity.

Inaugurated by Dr. Robert Rosen, Anticipatory Systems Theory deals with how systems with the ability to anticipate model and act on future states. This conference aims to address anticipation in its many forms, including its philosophical, biological, cognitive, and technological dimensions. This year (2025) will also mark the 40th anniversary of the original publication of Rosen’s “Anticipatory Systems: Philosophical, Mathematical, and Methodological Foundations”, an occasion that we shall celebrate in our conference.

This conference is focused on Robert Rosen’s ideary and notions of life, complexity, modeling, and mind.

More at: anticipation.philcomp.org

Eager to tackle challenges related to climate change? Then apply for the Amsterdam Complexity School on Climate Change (ACSCC), which brings together early career researchers from all disciplines and non-academic stakeholders to work on projects related to climate change. The school also offers a diverse program with talks by world-renowned scientists, former members of parliament, corporate sustainability leaders, journalists, activists, and artists. ACSCC will take place at the Institute for Advanced Study from April 28 to May 2, 2025. The deadline for applications is January 26 via the ACSCC website.

The re-emergence of Machine Learning (ML) in the last decade has started to revolutionize the way we think about science, technology, and even our everyday lives. ML has rapidly become a significant part of research across all scientific areas, including the physical sciences. This school attempts to capture the recent excitement about ML in general and for biophysical and biomolecular systems in particular, addressing participants with various backgrounds ranging from biology or biotechnology to physics.

The school’s purpose is threefold: a) to provide a theoretical foundation from the physicists’ perspective, b) to cross-pollinate different theoretical, experimental, and computational approaches, and c) to develop an overarching perspective that would tie together the various phenomena from biomolecular simulation and electrostatic interactions on the molecular scale to collective behavior of macroscopic biological entities in a unified approach within an ML framework.

There is no registration fee and limited funds are available for travel and local expenses.

This school will be preceded by the II Brazilian Workshop on Soft Matter from April 7-11.

More at: www.ictp-saifr.org

School on Origins is an interdisciplinary school that tackles the foundational questions concerning the origins of biophysical systems which include but are not limited to : molecular, cellular, neural and behavioral systems. We aim to find principles shared across systems using tools from statistical physics, mathematical analysis and numerical simulations to explore these questions. We have invited researchers that work both on the experimental and theoretical side to cover a variety of biophysical systems and theoretical approaches. The school is aimed at graduate students either at the master’s or PhD level who have a strong quantitative background and a keen interest to pursue interdisciplinary research.

We invite students pursuing degrees in physics, computer science, engineering, or mathematics. Those pursuing degrees in biology need to provide evidence of strong and extensive quantitative background in topics such as calculus, dynamical systems and numerical programming.

There is no registration fee and limited funds are available for travel and local expenses.

More at: www.ictp-saifr.org