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, environmental sciences, or a closely related field Strong hydrological process knowledge Experience in statistical and/or data-driven modeling Strong programming skills (ideally in Python and/or R
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Max Planck Institute of Animal Behavior, Radolfzell / Constance | Constance, Porto | Portugal | 17 days ago
candidate should be enthusiastic about addressing biological questions using quantitative approaches. Prior experience with programming (e.g., in R, Python, MATLAB, etc.), scientific writing, and ecological
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programming skills, preferably in Python, and experience with optimisation solvers Familiarity with infrastructure asset management, Bayesian networks, decision analysis, Value of Information analysis, or
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nanocrystals, quantum dots, or other nanoscale materials Machine learning Scientific programming and quantitative data analysis Prior experience with every technique used in the project is not required. The
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Scientific programming High-performance computing Prior experience with every method used in the project is not required. The successful candidate should, however, have a strong quantitative foundation
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continuous body, we aim to move beyond adaptive hardware architectures towards materials that actively participate in robotic function. The long-term vision is to create robots that can tune their physical