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Field
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cycle) and system transitions (e.g. self-organised criticality, critical transitions, catastrophe theory) Experience in modelling, simulation and analysis of models using various small-scale modelling
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theory-focused, the position encourages engagement with experimental partners, including those in industry. The project will support research visits and joint activities with these collaborators
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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on exoplanets. The position will be supervised by Professors David Catling and Joshua Krissansen-Totton. This theory project is funded by the Alfred P. Sloan Foundation and does not depend on federal grants
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/ Theoretical Particle Physics Nuclear Physics / Lattice QCD Lattice QCD and Heavy Ion Physics Lattice Field Theory lattice gauge theory (more...) Machine Learning / Machine Learning Appl Deadline: 2025/09/30
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by Professors David Catling and Joshua Krissansen-Totton. This theory project is funded by the Alfred P. Sloan Foundation and does not depend on federal grants. The postdoctoral associate will work in
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compared with observations, offering a powerful way to test our theories. The combination of novel AI methods and broad statistical analyses will help us pinpoint the exact roles of solar flares and coronal
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Bring segregation theory and models to industrial practise. Job
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Max Planck Institute for Nuclear Physics, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 2 months ago
Job Code: 10-2025 Job Offer from July 21, 2025 The Max Planck Institute for Nuclear Physics is one of 84 research institutes of the Max Planck Society for the Advancement of Science e.V. (MPG
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will lead to fundamental advances in human-water systems theory and applied research benefits for local water and land managers. Thus, the ideal candidate would have strong quantitative skills