4 postdoc-distributed-algorithms PhD positions at University of Cambridge; in United Kingdom
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interpreted by regression and tree-based machine learning algorithms to obtain even better mutants and develop mechanistic hypotheses. Various collaborations with ON-TRACT network partners across Europe allow a
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conduct cutting-edge research on topics including, but not limited to: Complexity theory Quantum algorithms and complexity Sublinear algorithms Interactive proofs, PCPs, and zero-knowledge proofs
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representation. Key aims include improving the generalizability, interpretability, reasoning and causal grounding of these models, developing new optimisation algorithms with biologically meaningful regularisation
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the Centre aims to develop a deeper understanding of life, its emergence, and its distribution in the Universe by addressing four questions: What are the chemical pathways which led to the origins of life