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results in restricted formal contexts. The objective of the proposed PostDoc is to work at the intersection of model counting and machine learning, with the aim of significantly improving counting
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investigate out-of-equilibrium dynamics in high-dimensional disordered systems (including models relevant to machine learning and optimization) by characterizing the fixed points (metastable states, attractors
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Copenhagen, and postdocs will work under the academic leadership of Professor Johannes Bjerva https://bjerva.github.io/ . The NLP group is a rapidly expanding research environment with strong activities in
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Carleton University | Government of Canada Ottawa and Gatineau offices, Ontario | Canada | about 6 hours ago
postdoc programs. The candidate is expected to do research in the field of theoretical astroparticle physics (broadly defined). Top-ranked applications will be sent to the MITF and MI-CITA Evaluation
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at UCC. The postdoc will be based in the UCC School of Mathematical Sciences. The aim of the project is to develop new mathematical techniques for the analysis of nonlinear phenomena in dynamical networks
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) Positions Postdoc Positions Application Deadline 26 Oct 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Jan 2027 Is the job
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300 employees. The interdisciplinary research focus is the investigation of the development, diversity and dynamics of planets, moons, small bodies, the sun and solar-like stars. The MPS develops and
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the intracellular space. The outcome will provide fundamental insights into the dynamic structural interconversion of non-canonical nucleic acid systems, enabling the fine-tuning of gene expression and associated
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provide fundamental insights into the dynamic structural interconversion of non-canonical nucleic acid systems, enabling the fine-tuning of gene expression and associated cellular dysfunctions. We
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considered an advantage: Density Functional Theory (DFT), Molecular dynamics simulations, Machine learning methods for materials modelling, Computational materials science, Organic or hybrid materials