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implementation and application. Basic knowledge and a keen interest in physical problems (especially inverse problems) and scientific applications. Strong programming skills (preferably Python). Ability to work
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modeling, molecular interactions/energetics, and tools such as AlphaFold, Rosetta, or MD simulations. Solid programming skills (Python); familiarity with machine learning is a plus. For both profiles, we
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September 2026) in Computer Science, Artificial Intelligence, Applied Mathematics, Hydrology, Civil Engineering, Actuarial Science or a related field; Strong programming skills (Python; familiarity with deep
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both rigorous mathematical arguments and numerical experiments; programming experience in a language such as Python, Julia, MATLAB, C or C++; good written and spoken English; the ability to work
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English. Ability to supervise students or early-stage researchers. Affinity with data processing techniques and programming (Matlab and/or Python). Hands-on with laboratory work, skilled in experimental
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background: familiarity with dynamic optimization, cost‑benefit analysis or macroeconomic modelling is an advantage; Experience with programming (Python, R, MATLAB or similar); Ability to collaborate
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programming skills (Python; familiarity with deep learning frameworks such as PyTorch or TensorFlow is an advantage); Affinity with probabilistic modelling and spatial data analysis; Interest in the physical
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numerical experiments; programming experience in a language such as Python, Julia, MATLAB, C or C++; good written and spoken English; the ability to work independently while also collaborating in
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/or Python). Hands-on with laboratory work, skilled in experimental design. Creativity, assertive attitude, and perseverance. The selection process will start immediately; the intended start date is in
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programming (Matlab and/or Python); Hands on with laboratory work, skilled in experimental design; Creativity, assertive attitude, and perseverance The selection process will start immediately; the intended