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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 3 days ago
of the results. Programming and automation of the test setups as well as the creation of evaluation software. Documentation of test setups and tests. Your qualifications A completed university degree in
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English version see below. Am Institut für Ur- und Frühgeschichte und Vorderasiatische Archäologie im Zentrum für Altertumswissenschaften (ZAW) der Universität Heidelberg ist ab dem 01.10.2026 eine
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-of-the-art, work-class remotely operated vehicles (ROVs): the ROV KIEL 6000 and the ROV PHOCA. These are deployed on German and international research vessels and provide spectacular insights into the deep sea
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mechanical engineering, electrical engineering, physics, materials science or a comparable field Experience in material processing and analytics Basic experience with CAD and/or programming software Ability
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engineering, physics, materials science or a comparable field Experience in material processing and analytics Basic experience with programming software for data analysis Ability to work independently Enjoy
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documentation. - Supporting the team in preparing and implementing various informed machine learning models for benchmarking and analysis. Desirable: - Currently enrolled in a Bachelor's or Master's program in
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programme of computer science, mathematics, physics, electrical engineering, computational linguistics, or similar with good grades PyTorch skills: experience in training machine learning models with one
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modelling. Programming skills in Python or in a comparable object-oriented, script-based programming language. Ability to work independently and remotely with a high degree of self-motivation. Excellent
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of the degree programme must be conducted in German and/or English. Candidates should have a strong teaching record. Knowledge of the German language is not required, but is expected to be acquired in the course
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with mult-omics data integration is a plus. Proficient programming skills (e.g., Python, Bash, R), with familiarity in machine learning frameworks and version control (Git); capable of writing clean