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non-academic partners across Europe and beyond to advance response diversity research and translate new knowledge into ecosystem management, restoration, and biodiversity policy. The Doctoral Candidate
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performance in a research area relevant to ultrafast nanoscopy. • Genuine curiosity and passion for ultrafast nanoscopy. • Prior experience – theory or experiment – in one of the above microscopy concepts
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for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance. Data Protection Information: When you apply for a position
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activity of individual neurons and mesoscopic population signals. His team develops open software for analysis and data management that forms the technical basis of the proposed project. The PhD candidate
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in the PhD programme. If your official diploma is not ready at the time of your application, you are required to send a current transcript of your academic performance instead. After this, please send
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biological models. This position involves the optimization, and operation of an innovative multimodal microscope, as well as close collaboration with experts in the biological sciences for its application
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numerical simulations and machine learning in order to better understand and characterize active matter systems. A possible direction is to use physics-informed machine learning techniques to connect
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Leipzig, Sachsen | Germany | 2 months ago
conditions are met. The position has an (initial) fixed term of three years but may be extended under certain circumstances. Managing Director Mike Frieser: „We believe that diversity is the key
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this Center: (1) develop a new set of consistent scientific methods for mobility planning and management, (2) integrate a new set of modular metrics for responsible mobility, (3) embed the planning methods
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assisted ISAC framework available at the TUM ACES Lab. ▪ Conducting real world experiments to analyze performance deviations between theoretical models, software simulations, and hardware behavior. ▪ Working