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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 1 day ago
science and biostatistics. Key tasks Perform and support transcriptomics and proteomics data analysis for diverse research projects. Develop and maintain reproducible computational pipelines and data
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computing, and synchrotron-radiation experiments. The goal is to explore physics-informed self-supervised learning approaches (e.g., deep image priors, GANs) and iterative methods, combined with multi-scale
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German Languages English and German (English preferred) Full-time / part-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline No specific
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-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline Any time Tuition fees per semester in EUR None Combined Master's degree / PhD programme
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) Application Deadline 6 Apr 2026 - 10:22 (UTC) Country Germany Type of Contract To be defined Job Status Other Offer Starting Date 13 Mar 2026 Is the job funded through the EU Research Framework Programme? Not
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immediately) Supervisor(s): Prof. Tilman Grune / Prof. Christian Stoppe Enrolment in a Doctoral Program: German Institute of Human Nutrition / University of Potsdam Project description: This project aims
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Your responsibilities will include providing technical support for research
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Areas of study Neuroscience, Physics, Applied Computer Science, Bioinformatics, Computer Science, Engineering Informatics, Medical Informatics, Chemistry, Analytical Chemistry, Inorganic Chemistry
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available in the further tabs (e.g. “Application requirements”). Objective TheMuseumsLab is a programme for joint learning, perspective exchange, networking and career building among African and European
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master’s program in Physics, Electrical Engineering, Computer Science, Photonics or a related field Prior knowledge in machine learning, data science, measurement technology, optoelectronics Interest in