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or Python). A good standard of written and spoken English as well as a driver’s license are mandatory. Good writing skills and the ability to work in an interdisciplinary environment are expected. We offer
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computationally and developing scientific software. Experience in Python is highly recommended, additional knowledge of performance-oriented modeling frameworks, either based on Python (e.g., JAX, Pytorch) or other
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. Profile You have a very good architectural or advanced technical degree, corresponding to the FHEQ-Level 7 We expect strong programming skills (preferably Python), multiple years of programming experience
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automation software (e. g. Hamilton Venus), scripting, or workflow scheduling (e.g. HighRes Cellario) and experience with standard programming languages such as Python, C++, Matlab or R Understanding of assay
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engineering, geophysics, computational science, mathematics, physics or a related field The successful candidate has strong analytical skills and programming experience either in Python, or C/C++, or equivalent
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remote sensing is required. Experience in working with multimodal data fusion and high-resolution remotely sensed data is required. Proficiency in programming, particularly in Python, is essential
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. Prior experience with DFT-based electronic structure calculations or other computational quantum-mechanical many-body techniques. Programming skills in either Python, Fortran, or a comparable programming
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seismic methods, signal processing, and/or wave physics Experience or strong interest in seismic data processing, imaging, and inversion Good programming skills (e.g., Python, MATLAB) and willingness
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engage with clinical, industrial, and academic partners Experience and strong research interest in one or several of the group’s research focus areas Programming skills in Python/MATLAB, C/C++ and
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following areas is required: bioinformatics analysis of high dimensional data (R/Python), metabolomics, tissue/organoid culture work, (anaerobic) bacterial culture. Highly beneficial experience at all levels