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the Department of Mathematics and Systems Analysis at the School of Science is seeking two Postdoctoral Researchers in Mathematics in probabilistic and algebraic approaches to quantum field theory to work under
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, providing direct feedback on theory analysis and further predictions. The goal is to develop a theoretical and computational approach that has strong predictive power for finding completely new types
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theoretical evolutionary biology, including optimal control theory, life history modelling, adaptive dynamics, and population genetics. This position is part of the interdisciplinary consortium
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will focus on the development of GPU-accelerated GPAW software based on density functional theory (DFT) for constant-potential calculations within a plane-wave framework. The developed software will be
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) in computer science, mathematics or statistics, with an excellent publication record. Solid research experience in one or more of the following topics is expected: Graph neural networks Optimization
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-oriented research. Our work bridges theory and practice, addressing issues from biodiversity governance and environmental justice to nature-based solutions, eco-acoustics, serious games and multispecies
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research as part of a vibrant interdisciplinary consortium, using statistical models to bridge evolutionary theory with immunology, genomics, and demography Collaboration across disciplines, with research
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The University of Helsinki and the Helsinki Institute of Physics anticipate the opening of at least two postdoctoral-level positions in perturbative thermal field theory and neutron-star physics starting in autumn
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quantitative predictions testable against empirical data from diverse ecological contexts. We use methods from theoretical evolutionary biology, including optimal control theory, life history modelling, adaptive
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theory, starting April 2026 or as soon as possible thereafter, for a duration of 2 years. The position is fixed-term, as it is related to NUANZ project, funded by the Research Council of Finland. Our