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to build a strong interdisciplinary research profile. What are you going to do Work with the project team and external collaborators to develop theory-driven, societally relevant research; Design and run lab
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based at IVM and collaborate with other researchers in the USA, Germany and the UK who will be recruited for this project. Your main tasks are to: Design and apply theories from the fields of behavioural
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& Collaboration The successful candidate will work at the interface of machine learning and biostatistics, developing new theory, algorithms, and scalable implementations. By establishing a new class of multi-frame
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Description Start date/duration 01.07.2026 for 4 years Job profile: Your tasks: Quantum information theory with a focus on quantum communication Independent research in the field of quantum information theory
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machine-learning algorithms, and with lightning-fast Maxwell solvers for scattering simulations. You will not only work on the 3-D models in theory; you will also be trained in operating advanced microscopy
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research work within the scope of the Scientific Research project “A self-consistent approach to the laws of nature.” This work will focus on the use of “Bootstrap” techniques in quantum field theories and
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the Job related to staff position within a Research Infrastructure? No Offer Description Position available within the research project entitled: “Developing a social-ecological niche theory to leverage
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the Job related to staff position within a Research Infrastructure? No Offer Description Position available within the research project entitled: “Developing a social-ecological niche theory to leverage
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, fully-funded PhD student focused on control, optimization, game theory, and embodied intelligence in robotics and autonomous systems. This is a unique opportunity to work on a project combining cutting
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, Mechanical Engineering, Applied Mathematics, Computer Science, or a related field. Strong background in systems theory and/or control engineering. Keen interest in cyber-phyiscal systems, networked control