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required to meet the eligibility criteria. Of secondary importance are: Experience with Python and relevant libraries for machine learning, optimization and simulation. Documented expertise in simulation
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AI, …) and relevant programming frameworks Advanced programming skills in relevant programming languages and contexts (e.g., Python, HPC/GPU programming, big data applications) Strong team spirit and
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relevant programming frameworks Advanced programming skills in relevant programming languages and contexts (e.g., Python, HPC/GPU programming, big data applications) Strong team spirit and experience in
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of hydrologic processes, transboundary/shared water resources management, and coupled human–natural systems. Proficiency in geospatial and scientific computing tools (e.g., Python, R, GIS, Google Earth Engine
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modeling or geospatial/temporal data analysis Causal inference ● Strong programming skills in Python and experience with PyTorch, required to have experience developing code with a team through collaborative
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in data processing, signal analysis, and programming (e.g. Python/Matlab) Demonstrated experience in publishing scientific journal papers Ability to work well independently as well as in a multi
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analytical and problem-solving skills. Experience with data analysis, numerical modelling or programming, for example in MATLAB, Python or similar tools. Good written and verbal communication skills in English
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to start date. Experience with theoretical or practical aspects of either neuromorphic algorithms or artificial intelligence. Experience in a common programming language such as Python or C++. Ability
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. Experience with computational solid mechanics, computational soft tissue mechanics, or a closely related mechanics field. Well-developed coding expertise in Python, Julia, C++, Fortran, or a similar scientific
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quantum optics, quantum control, and in the development of control systems for quantum optics experiments based on FPGAs) You have experience with Python, LaTeX and MATLAB, Hadrware description languages