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, and grid operators will exchange data in the future. At the Smart Mobility Lab, we view mobility as a system: we work with real operational data and model the interplay between the actors. Join the
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Job Offer from August 19, 2026 The Max Planck Institute for Chemistry in Mainz offers a doctoral position in atmospheric chemistry, starting in September 2026. The position is located in
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of its work is the relationship between structural form and force flow, investigated through computational form-finding methods and machine learning-supported structural design approaches for advanced
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 23 days ago
Job Code: MPIDS-W093 Job Offer from August 25, 2026 In the Max Planck Research Group “Theory of Turbulent Convection” of the department “Fluid Physics, Pattern Formation and Biocomplexity” we seek
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of Mechanical and Process Engineering at RPTU Kaiserslautern-Landau »Laboratory of Reaction and Fluid Process Engineering«. The work involves simulating cavitation at three model levels, ranging from single-phase
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Max Planck Institute for Biology Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
Job Offer from August 17, 2026 The Max Planck Institute for Biology Tübingen and the Friedrich Miescher Laboratory are institutes of the Max Planck Society and conduct fundamental research in
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As a PhD student, you will work within the DFG-funded project ‘Luminescence Upconversion Nanoscopy – LUNA’, which aims to bridge the traditionally separate research fields of mid-infrared and
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Future. Discover. Together. Excellent research and innovation are at the centre of the work of the HHI - Fraunhofer Institute for Telecommunications. We are a world leader in researching mobile and
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research environment. 🧘 Work-life balance: Benefit from flexible working hours based on trust. 🚐 Commute: Good public transportation access, parking spaces right in front of the institute, an electric
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In this thesis you will work in the European Space Agency (ESA)-funded project Fast-EO (Fostering Advances in Foundation Models via Unsupervised and Self-Supervised Learning for Downstream Tasks in