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Student or Postdoc (f/m/x) in the field of Theory and Methods for Non-equilibrium Theory and Atomistic Simulations of Complex Biomolecules Possible projects are variational free energy methods
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) Experience with modern deep learning frameworks (e.g., PyTorch, JAX, TensorFlow) Background in at least one of the following: graph learning, scientific computing, surrogate modeling, or ML theory Interest in
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stronger theory/computation leanings and one with a strong background in molecular biology and experience with metabolomic data. What we offer 3-year Postdoctoral contract State-of-the-art platforms
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mathematical and computational techniques, it is essential to have experience in mathematical modelling / dynamical systems theory / numerical methods / coding. An ideal candidate would have a PhD, or
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can easily use the setups. The researcher will use the set-ups to analyze the LCE precursor flow, also comparing with results from simulations and theory, and continuously revise and improve
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Computer Science, Information Theory, Physics or related fields High level of mathematical maturity Experience with topics related to quantum LDPC codes and decoding algorithms, or demonstrated ability and
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collaborators working on theory and experiments As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university globally recognized for the excellence of its
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interests that address but are not limited to interdisciplinary topics exemplified by Power Systems, Energy Storage, New Energy, Power Electronics, Statistical Learning Theory, Information Theory, Computer
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scholarship is an ideal starting point for someone wishing to establish a future cross-disciplinary research lab that integrates theory and experimental research. Specific Qualifications for Project A
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of the components of the climate system. As a suitable candidate you, have expertise in analyzing complex systems (e.g., using dynamical systems theory, statistical physics) and/or process-level expertise in a