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proficiency and intermediate Danish proficiency (some teaching tasks are at the BSc level, which is in Danish). Scientific computing, possibly with different programming languages (e.g., Python, MATLAB
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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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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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Python and relevant machine learning/data science frameworks Experience with data preprocessing, curation, and quality control for large and complex datasets A strong analytical mindset and the ability
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solutions, including model design, implementation, evaluation, and documentation Proficiency in Python and relevant machine learning/data science frameworks Experience with data preprocessing
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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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-reviewed journals; collaboration in interdisciplinary and international research environments. Experience with software such as R, Python, SPSS, Stata, Sawtooth, Qualtrics or similar tools will be
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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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platform CUDA for parallelization of the computation over several GPUs’ cores, and has interfaces with Matlab and Python for ease of use. You will research determining the ideal microstructure, for