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Field
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field Proficiency in at least one programming language (Python, R, C++, Julia, …) Good analytical skills with a sound understanding of data evaluation Prior experience with single-cell data analysis
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reaction engineering Experience with process simulation software (e.g. Aspen, AVEVA, Python, ...) is an advantage but not required Excellent organizational skills Ability to show initiative and work
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machine learning, deep learning, or AI. Solid mathematical, algorithmic, or physics background, distinct analytical skills. Very good programming (Python, C++) and computer (Linux, Windows) skills
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and structured working style Very good written and spoken English skills Desirable additions to your profile Knowledge of and practical experience in programming with Python Experience with web service
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, statistics, data science, or a related field. Intermediate to advanced written and oral command of English. Some familiarity with scientific data analysis and programming (e.g., in R, Python). Ability
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-based sensor data (signal processing, feature engineering) Setting up and maintaining data pipelines: sensor data acquisition, storage (e.g., databases), and processing Use of Python (including TensorFlow
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, ideally with experience in generative models, reinforcement learning, or high-dimensional optimization. Programming proficiency in languages such as Python. Ability to work both independently and in a team
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, and/or numerical mathematics, as well as an excellent command of a programming language, preferably Python or C/C++. The candidate should have an interest in modeling and solving a complex, coupled
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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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interest in 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