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Principal Investigator: Professor Stefan Dercon Contract Type: Fixed-term, from 1 October 2025 to 30 September 2026 (extension possible based on funding) About the project: This project evaluates
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degree, a research master degree, or a coursework Master degree with a significant research component from a recognised institution and in a cognate discipline have a strong interest in undertaking a three
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and implementing an embedded optimisation algorithm on representative hardware platforms to demonstrate feasibility and real-time performance. The primary application will be autonomous 6-DoF Moon
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the functionality and efficacy of CAR-T cells. This includes, but is not limited to: Cell Culture: Aseptic culturing of primary T cells, tumor cell lines, and other relevant cell types. Functional Assays: Perform
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. Main responsibilities Your main responsibility is to pursue your own doctoral studies. You are expected to: Develop your own scientific concepts Communicate the results of your research verbally and in
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have 120 ECTS master’s degree in design, or another field deemed relevant for the position. Current master's students are encouraged to apply, but the master's degree must be obtained and documented
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international research experience or aspirations will be regarded positively. Qualification requirements PhD stipends are allocated to individuals who hold a Master's degree. PhD stipends are normally for a
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mindset and curiosity to research and develop new solutions with highly skilled colleagues. Qualification requirements PhD stipends are allocated to individuals who hold a Master's degree. PhD stipends
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 29 days ago
, Applied Mathematics, Physics, Biophysics or a similar qualification Interest in and/or experience with AI/machine learning A willingness to learn and extend this knowledge and master new challenges in
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, efficiency, and the optimisation of material, energy, and waste flows. The main tasks include: 1. Developing Digital Twins: Using data from other work packages, we will create digital twins (DTs) for waste