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and solids. Experience in scientific programming in C/C++, Python, Fortran, Mathematica or similar is required. The successful candidate will either hold a PhD in Physics or a related area, or
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previous work at the postdoctoral level at start of appointment. Coding experience in a scientific computing language is desirable (e.g., Python, MATLAB, R, IDL, Fortran, etc.) The candidate should have an
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/scripting (e.g., in Python, and/or R, and/or Matlab, and/or Bash script & NCO & CDO, etc.) and have demonstrable expertise in the analysis of big data, while the experience with interpretation of climate
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atmospheric physics, meteorology, climate, numerical methods, and data science. The Research Associate will be proficient in programming/scripting (e.g., in Python, and/or R, and/or Matlab, and/or Bash script
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and strong experience with the Python library JAX would be a plus. Experience writing and publishing academic papers. Please see job description for a full list of requirements. *Candidates who have not
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datasets Proficiency in Python for data science and machine learning Possess sufficient breadth or depth of specialist knowledge with deep learning architectures including generative models, particularly
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, R/Python) is welcome We offer: A dynamic, interdisciplinary service platform environment embedded in Germany’s leading Life-Science campus Access to cutting-edge instrumentation (timsTOF fleX MALDI-2
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capability to quickly gain the ability to run a clinical study and conduct intraoral 3D scanning. Further, experience with Python programming and digital 3D meshes would be considered an advantage. As a person
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production with an associated photon. • Technical skills in the use of columnar analysis approaches with python. Desired Qualifications • Experience with C++ programming. • Experience in developing
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candidate has proven expertise in X-ray imaging, synchrotron experiments, and multimodal X-ray imaging, e.g. XRD or XRF computed tomography. Experience in scripting in Python or MATLAB is an advantage