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in the field of software architecture for neuro-symbolic AI. The project will investigate how this unique combination of deep learning and symbolic reasoning AI methods influences important
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number of PhD and PostDoc positions relating to the following topics: micro-architectural attacks and defenses (modelling, finding, analysing and mitigating) automatically and efficiently finding
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different levels of granularity and combine genomic information, mechanistic knowledge (enzyme signatures, promoter architecture, context methods such as operon structures or co-expression, thermodynamic data
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will develop state-of-the-art machine learning architectures tailored for temporal data. The goal will be to improve existing techniques such as off-policy evaluations in the context of reinforcement
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and Arnhems Buiten. At the latter site, an innovative business park is being realized that has its own power grid architecture, allowing for exchange of data and energy, opening the possibility
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answer key research questions: how to automatically generate efficient code for different computer architectures (CPUs and GPUs), problem types, and finite element formulations? how to escape