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description: Design, development and test of the DUV source Perform time resolved photoelectron spectroscopy experiments using DUV source Support user operation at the MAC user end-station Contribute
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fundamental plant biology with relevance for future crop innovation. Plants have the fascinating ability to regenerate from a single cell or a damaged tissue. This ability requires extensive changes in, amongst
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-generation screen-printed electrochemical biosensor arrays capable of detecting multiple biomarkers simultaneously. The successful candidate will explore innovative electrode designs, advanced surface
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. On the quantum side, we explore the extreme regime of motional quantum states of solids and their interactions to understand how to maximize mass, delocalization, and coherence time in quantum experiments
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diversity and evolutionary history of a wheat immune receptor pair to uncover the molecular mechanisms underpinning paired receptor compatibility and guide the design of optimised immune receptor pairs
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dynamic environments, including narrow spaces and interactions with unfamiliar objects. This project aligns with Rolls-Royce’s technical needs for developing soft robotic solutions to enable in-situ/on-wing
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at counteracting symptoms of brain disorders associated with astrocyte pathology. The applied research programme is designed to deliver a detailed understanding of the mechanisms of astrocyte dysfunction and its
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nutrients with the soil through adaptive root and fungal networks. The successful candidate will design and implement a modelling framework based on Partial Differential Equations (PDEs) to represent
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at Therapeutic Drug Monitoring (TDM). Within the framework of our European Innovation Council (EIC) grant ‘Automated Clinical Platform for Personalized Antibiotherapy in Critical Units Based on Surface Enhancement
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
Job Code: Tü_107 Job Offer from March 06, 2026 The Max Planck Institute for Intelligent Systems (MPI-IS) conducts research to advance intelligent systems that perceive, learn, and interact. Through