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systems, gas networks, or coupled multi-energy systems Proficient in programming, especially in Python; experience with C/C++ is an advantage Interest in scientific software development, large-scale
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 3 months ago
-science field. Strong technical expertise in one of the following fields: RNA biochemistry, molecular biology, Python/R programming, developmental biology. Experience in independently planning and executing
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in MATLAB and/or Python. Excellent problem-solving skills. Excellent written and spoken English. Our Offer This position is your opportunity to help create a new generation of medical technology with
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Max Planck Institute for Empirical Aesthetics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 3 months ago
computational methods. Desired: Experience working with large datasets; Excellent computational analysis skills; Proficiency in R or Python; Solid knowledge of statistics; Experience in web development
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and high-performance computing systems is highly desired Experience in at least one higher programming languages (e.g. FORTRAN, C++), and data processing and visualisation language (e.g. Python, R) is
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 2 months ago
hydroacoustics, bioinformatics and/or image analysis (ZooScan, UVP) Excellent analytical skills, including statistical modelling, mathematical modelling and network analysis Proficiency in coding (R, Python
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, or comparable subjects • Experience in machine learning (ML), artificial intelligence (AI) or related fields • Software skills in ML languages such as Python • Ability and enthusiasm to learn new
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AI/machine learning is a plus. Strong software skills in software packages used in experimental particle physics (ROOT, C++, Python, Git) Good teamwork and communication skills Good English language
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with scientific programming (preferably Python) Good understanding of synchrotron radiation and high-brilliance X-ray sources Experience in beamline commissioning, alignment, or experimental
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Strong experience in machine learning and/or deep learning, ideally with sequence models (e.g. CNNs, transformers) applied to genomic data Proficiency in Python and common ML frameworks (e.g. PyTorch