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Field
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(beyond model training) Solid programming skills (Python required; C++/CUDA a plus depending on simulations) Interest in physics-based simulation, numerical methods, or computational engineering Motivation
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learning and deep learning Excellent programming skills in Python Practical experience with PyTorch (preferred) and/or with TensorFlow, scikit-learn, and GitHub Experience with scientific experimentation and
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of measurement and control technology or programming skills, preferable in python First experience with modern methods of material characterization High motivation, initiative, creativity, and ability to work in a
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, natural science, quantitative science or in related fields affinity to programming, including programming in MATLAB, Python, or similar advanced English communication skills strong analytical skills strong
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 27 days ago
biological systems, prior experience in biological modeling and in transcriptomic data analysis. Proficiency in programming (e.g., Python, R) and familiarity with high-performance computing environments
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | 3 months ago
spatial transcriptomics; become a technical expert the group relies upon Conduct rigorous multi-omics data analysis using R or Python; generate publication-quality findings Your qualifications A strong
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in image processing and analysis, including deep learning (e.g., CNNs) experience with correlative imaging workflows and 2D/3D registration techniques strong programming skills in Python and/or C/C
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programming skills in Python and experience in developing and documenting reproducible research code (e.g. using PyTorch or comparable frameworks). Practical experience with AI-assisted development and coding
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to work on policy instruments for climate change mitigation knowledge of R and/or Python for conducting econometric analysis or text analysis (or an interest in learning) high diligence and strong attention
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, or Engineering. Do you have experience of numerical modeling of atmospheric processes and are you already familiar with meteorological topics? Can you program in Python or Julia? Ideally, you also have some data