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, Computational Science, or a related field; a PhD or equivalent experience is preferred Strong programming skills in Python, with experience in machine learning frameworks such as PyTorch or TensorFlow
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of study Good Java and/or Python programming skills Machine learning knowledge and experience Experience with Static Analysis is recommended Good language skills in German and/or English What you can expect A
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Experience with programming (Python, Julia or other languages) and modelling Very good written and spoken English Our offer The full-time position as a PhD researcher (m/f/d) is to be filled with a start in
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policy impact evaluation, systematic reviews, or evidence synthesis is an asset; Knowledge in statistical software (e.g., R, STATA, or Python) is an asset; A sound understanding of econometrics, meta
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qualitative methods; some background in or willingness to learn computational social science methods as well as R and/or Python is highly desirable. Willingness to develop an ambitious empirical research
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Programming skills (Python) and acquaintance with modern machine learning frameworks (PyTorch/JAX) are strong advantages The university seeks to raise the number of women in research and teaching and therefore
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computing and numerical simulation, especially with Python, Matlab, OpenFOAM, FENICS, ANSYS, etc. Proven commitment and talent for university teaching. What we offer The Technical University of Munich (TUM
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, Environmental science, Geosciences or related fields programming experience in Python or extensive experience in another high-level programming language is a prerequisite experience in geospatial data science
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skills, preferably with Python. Still studying in Chemnitz, Mittweida or the surrounding area. A grade point average of < 2 is preferred. What you can expect Collaboration in innovative and exciting
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analytical skills have a strong programming background with experience in using Python, C/C++, and/or Java, etc. strong interpersonal skills with demonstrated ability to communicate (written and oral in