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better than 2.5 - Very good programming skills (e.g., Python, JavaScript/Angular/Electron, C++, or comparable) - Experience in the development of simulation environments or experimental software platforms
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Engineering, or a related discipline - Solid understanding of fluid dynamics and/or electromagnetism - Programming experience (preferably Python) - Interest in machine learning and scientific computing
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informatics, or a related field - Strong programming skills in Python and experience with deep learning frameworks (PyTorch preferred) - Experience or strong interest in large language models, multimodal
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physics or theoretical chemistry, with interest in electronic-structure theory and method development. Experience in computer simulations and programming is advantageous. Very good communication and writing
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of electrochemistry. You are strongly interested in scientific questions in physical chemistry and enjoy experimental work in a chemical laboratory with advanced, in-house-developed instrumentation. Programming skills
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master’s degree in mathematics, theoretical computer science, machine learning, or a closely related field. Strong background in discrete optimization, algorithms, or reinforcement learning. Good programming
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, ecology, mathematics, or a related field Strong programming skills, preferably in Python (experience with scientific computing, ML frameworks, high performance computing and geospatial data are highly
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. Experience in programming (in particular, Python) and an interest in machine learning, data analysis, or scientific computing are expected. Prior experience with machine learning or optimization methods is
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must have the following: • Master’s degree in physics or optics. • Excellent track of records. • Strong motivation, scientific curiosity, and commitment to scientific excellence. • Programming skills in
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of records. • Strong motivation, scientific curiosity, and commitment to scientific excellence. • Strong programming skills in MATLAB / Phyton • Team player skills and enthusiasm to work in a multi