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Proficiency in at least one programming language (Python, C++, …) Keen interest in neuroscience is essential Experience with modelling, analysis of complex dynamical systems, simulation, analysis of large-scale
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Familiarity with statistics and programming experience in Python are advantageous Strong intention to be a part of international team with interdisciplinary questions We offer: An interesting and vibrant field
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, e.g., Python, C/C++, Fortran Willingness to work independently and think critically Excellent communication skills Ability to work well in a team and contribute to a diverse and inclusive workforce What
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electrical or mechanical engineering Strong mathematical skills Experience in modelling energy systems Very good knowledge and experience in programming (e.g. Python, Matlab, C, C++) Fluent in written and
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HPC systems Practical experience working with conda environments and Python scripting Motivation to contribute to the development of an open-source molecular modeling platform for soil components Hands
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, uncertainty modeling, or decision-making under constraints. Experience with Python and modern ML frameworks such as PyTorch or TensorFlow. Curiosity for interdisciplinary research; prior experience with
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energy technology, energy economics and policy issues Experience in programming with Python or a comparable programming language Experience in energy system modelling is an advantage Highly motivated and
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systems and networks is beneficial and complements your technical profile. Programming skills: You have at least scripting experience, for example in Python or comparable programming languages. Language
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well as experience in omics data analysis, and possesses solid English-language skills. Experience with programming, preferably Python and R, is required. Experience with deep learning frameworks, such as JAX
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, catalysis studies - in particular electrocatalysis and Python programming Experience within the following fields is highly beneficial: Transmission electron microscopy, Electrochemistry, Image analysis, Big