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develop federated methods which can handle heterogeneous and inconsistent medical data. This involves harmonization of data from different hospitals (without having all data in one place), developing new
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. Your work assignments The overall aim of the project is to investigate how firms can leverage specialised AI models to develop innovative offerings, business models, and ecosystem collaborations. While
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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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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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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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student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20 per cent
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, you devote most of your time to doctoral studies and the research projects within the research group. Your work may also include teaching or other departmental duties, up to a maximum of 20% of full
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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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. As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of
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doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20 per cent of full-time. The work assignments also