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-stationary environments. Implementation Expertise: Outstanding scientific programming skills (Python, PyTorch/JAX) with a proven track record of developing, debugging, and scaling deep generative
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interaction (quantum optics, nonlinear optics, spectroscopy or plasmonics). A background in theoretical chemistry is also welcome. Be proficient in scientific programming (Python or Fortran) and
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Collaborate with computational researchers to atomic-scale mechanisms, kinetics, and strategies for stabilizing active catalytic structures Contribute to high-impact scientific publications and present your
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: Outstanding scientific programming skills (Python, PyTorch/JAX) with a proven track record of developing, debugging, and scaling complex RL pipelines or custom simulation environments. Clean public
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Biotech Research and Innovation Centre, The Lund Group, University of Copenhagen | Denmark | about 1 month ago
project is conducted in collaboration with the deep probabilistic programming group of Thomas Hamelryck: https://di.ku.dk/english/research/groups/machine-learning-in-biology/?pure=en/persons/271052
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nanophotonics who are highly motivated and eager to pursue world-class research in theoretical quantum nano-optoelectronics. Experience with scientific programming is expected, while familiarity with numerical
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(written and spoken) and have documented experience with large-scale health data and advanced epidemiological and statistical methods, including programming skills. Experience with the Nordic nationwide