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Field
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, chemistry, material science, chemical engineering, or related disciplines Knowledge of X-ray methods Experience in the field of energy storage Experience with programming languages (ideally Python) Fluent in
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Proficiency in programming (e.g., Python, R) and related software tools. What We Offer Tuition waived and education at both institutions Employment contract according to 75% TVL 13 German civil servants pay
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of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Excellent skills in relevant programming languages, particularly Python and C++, incl. good knowledge
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, activities, and/or theses. Programming experience in Matlab, Python or similar packages Good oral and written presentation skills in English language. -------------------------------------------- PLEASE NOTE
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diagnosis, and knowledge of the operation of helicopter systems. • Confident handling of Python and common data science tools. • Knowledge of high-performance computing and machine learning. • Fluency in
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, magnetic fields) and programming skills (e.g. Python) are desirable. Remuneration is based on the TV-L (EG 13, 26 h/week). The contract is limited to 3 years, which is the project duration, set by the German
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, problem-solving and project management skills. Candidates with strong quantitative skills, including familiarity with python and astronomy are desired for this project. Must be eligible to enrol in PhD
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a member of a broader team, including with industrial partners Programming experience and expertise in Python and/or Matlab and/or C++. The candidate will be working on Signal Processing/Control Path
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developing scientific software (using any of these languages/libraries: Python, Julia, C++, C, Fortran, Matlab, Fenics/FeniX, MFem, deal.II, libMesh, PETSc, Trilinos, Pytorch, TensorFlow, Jax, Keras, Pandas
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essential. Excellent organisation and problem solving skills are expected and experience in data wrangling, processing and visualisation using R or Python would be advantageous but not essential