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join the research group of Jan Glaubitz and develop your own research agenda in the context of the group’s research at the intersection of inverse problems, Bayesian learning, and uncertainty
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research on the development of new inference methods and algorithms for wide classes of stochastic models. However, research will be conducted in collaboration with biologically oriented researches allowing
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issues in federated and decentralized learning systems. The aim is to develop novel methods for securing communication against passive and active adversaries, leveraging tools from statistical estimation
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achieve targeted modification of semiconductor properties through electronic doping to control and modify their electronic characteristics. The project’s goal is to develop fundamental understanding and
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and significant piece of information to the right point of computation (or actuation) at the correct moment in time. To address this challenge, you will focus on developing theoretical and algorithmic
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world. We look forward to receiving your application! Your work assignments We are looking for a PhD student to work on the development of novel spatio-temporal machine learning methods. Our world is
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application! Your work assignments We are looking for a PhD student to work on the development of novel spatio-temporal machine learning methods. Our world is inherently spatio-temporal, i.e. physical processes
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We are now looking for a PhD student in Quantitative Logistics with a focus on efficient and sustainable supply chains. Join an exciting project where you’ll analyze and develop strategies
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to develop a theoretical foundation for understanding and mitigating memory poisoning in LLM agents. This position, funded by the Swedish Research Council (VR), offers an exciting opportunity to work
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application! We are now looking for a PhD student in Integrated Circuits and Systems, at the Department of Electrical Engineering (ISY). Your work assignments The objective of this position is to develop