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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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chemistry is highly desirable excellent problem-solving skills and analytical thinking proficiency in programming (e.g., Python) is an advantage good communication skills and the ability to work in a
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of Python German language skills Required Documents CV Certificates Transcripts Application https://stellen.uni-kassel.de/jobposting/43adda426450194ce164d3ac1c9f5f98f49464dd0 https://www.uni-kassel.de/fb10
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international secondments Excellent written and spoken English skills Experience in magnetic field measurements, ultrasound techniques, X-Ray radioscopy helpful Programming experience in Python helpful Our offer
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Python or C/C++. The candidate should have an interest in developing novel bivariate methods in machine learning for molecular property prediction within an interdisciplinary application. Ideally
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, geosciences, mechanical/electrical engineering, or a related field Very good understanding of data analysis and/or machine learning Programming experience, ideally in Python and C (additional languages such as
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differential testing) We focus on techniques that apply to real-world software systems. E.g., in the past, we have developed techniques that find and fix bugs in widely used Python, Java, C/C++, and JavaScript
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pipeline in Python (using e.g. PyTorch) validation of your results in collaboration with colleagues from various application areas (cross-disciplinary) publication and presentation of your scientific results
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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