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Field
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through data-driven modeling and optimization. The successful candidate will work at the intersection of thermal-fluid sciences, control theory, and artificial intelligence/machine learning to advance
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technical papers for publishing. Investigates the feasibility of applying a wide variety of scientific principles and theories. Maintains substantial knowledge of state-of-the-art principles and theories
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milestone-driven sponsored research projects and communicating effectively with stakeholders Training and experience with two-phase flow and heat transfer with refrigerants, theory and experiments, is
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superconductivity theory applicable to high kinetic inductance superconducting materials Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type Long-Term (Fixed Term) Time Type Full time The expected
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Research Framework Programme? Horizon 2020 Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral researcher in arithmetic geometry and/or algebraic K-theory
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reports and technical papers for publishing. Investigates the feasibility of applying a wide variety of scientific principles and theories. Maintains substantial knowledge of state-of-the-art principles and
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complementary systems-change-oriented methods to national-scale case studies, while supporting the development of pathways and theories of change; develop reproducible analytical tools, workflows and monitoring
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are especially encouraged: (1) statistical mechanics, condensed-matter theory, quantum field theory; (2) tensor networks, quantum information, quantum algorithms; (3) machine learning, generative models, large
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and automata, and the interaction between formal methods and artificial intelligence. We welcome candidates interested in topics ranging from foundational theory to the development and evaluation
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theory - Experience in scientific writing (articles, reports) - Very good communication skills (written and oral) in French and English Useful skills: - Knowledge of biological invasions