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. Excellent programming skills in R and Python or similar. Advanced statistical and data-analysis skills. The ability to work independently, develop research questions, and think creatively and critically
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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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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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employment, list of programming skills mastered by the applicant, and teaching and supervision experience. Letter of motivation , including details on qualifications within the subject area (max. one page
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with NV magnetometry, scanning SQUID magnetometry or similar techniques is a strong advantage. Experience in programming, ideally using Python. Structured work attitude and ability to plan and carry
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, Computational Biology, Computer Science, Mathematics, Physics, or a related field Strong experience with programming in Python, R, or similar languages Background in machine learning or deep
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computational skills, including substantial experience with command-line environments, scripting/programming (R, Python and Bash), high-performance computing and development of reproducible analysis pipelines
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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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use our state-of-the-art open source micromagnetic model MagTense to perform this modeling work. MagTense is based on a core implemented in the Fortran programming language, and it relies on the
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ideally with some experience of cancer research and evidence of genome editing and working with complex pre-clinical in vitro and in vivo models. Programming expertise in Python and R is desirable. As