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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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