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must be performed, with particular attention paid to certain critical areas, such as the warm/cold interfaces and the BCOM beam separation magnet. In this critical area, three beams of different energies
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focus on linguistics and cognitive science. It unites ca. 20 research projects from different German universities, plus international collaborators, from diverse academic disciplines. The position is part
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partnership with the Charles Sadron Institute, - Contributing to the development of dedicated acquisition electronics, - Conducting tests on the developed devices, - Analyzing the obtained data, - Optimizing
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Engineering, and Environmental Engineering focusing on different research fields such as catalysis, separation, energy generation, conversion and storage, Plasma Science and its applications, and organic
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-symmetry-handling-in… Requirements Specific Requirements Motivated researcher, with a PhD in integer programming, bilevel programming, mathematical optimization, or a comparable domain. Very good programming
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | about 2 months ago
provide a mechanistic framework for understanding how brains encode directions, goals, and competing options in continuous space. For example, different behavioral modes, from directed choice to exploratory
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Research Scholarship of Post-Doctoral Research for the scientific area of Chemistry - IST/2025/BL103
application; b) to have carried out the research work that led to the PhD degree in a different entity from the host institution of the fellowship; c) Not to exceed, with this fellowship contract, including
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difference in the areas of materials and manufacturing, we look forward to receiving your application. About the research project The position is focused on development of robust AM and post-AM processing
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teaching are conducted within seven divisions with different research focus. Read more about us here About the division The Division of Biomedical Engineering is part of the Department of Materials Science
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approaches treat NP design as static property prediction. This project takes a fundamentally different approach: using generative models to propose novel NP formulations and coupling them with explainability