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models, threat mitigations, and system-level architectures to support trustworthy and fail-operational task offloading. Responsibilities: Conduct research in security-aware real-time offloading in
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to develop new scientific methods to design and analyse better, more sustainable buildings. A researcher at the turn of the last century was trying to find a standardized animal model for their experiments. A
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engaging research environment. The postdocs will work on cultural alignment and preference optimization of large language models (LLMs) for mid to low-resourced languages. The overarching goal is to develop
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model checking. You should be well versed in basic statistics and practical programming skills is a must. Knowledge about the inner workings of GenAI would be nice but not necessary. You must have a two
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analyses to assess the relationship between genetic differentiation and phenological variation. Develop and implement advanced statistical models to quantify phenological responses. Collaborate with internal
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similar methods. Moreover, the candidate must be able to incorporate insights from qualitative research into quantitative models. The successful candidate will drive internationally recognized research
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generalization. However, existing machine learning theory does not fully explain this behavior, leading to the development of new approaches. A promising explanation is that models are implicitly regularized