4 distributed-algorithms PhD scholarships at University of Southern Denmark in Denmark
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with mathematical modeling and algorithmic insights Counterbalancing issues such as bias, overfitting, and inexplicable errors in excessive pre-training: by making systems explicitly aware of the reasons
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pruning), carbon-aware computing, minimizing algorithmic complexity, maintenance requirements, mapping energy efficiency and related aspects using KPI (key performance indicators) with respect to ESG
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monitoring bioelectrochemical reactors - mapping microbial distributions across reactor niches - functional omics and targeted assays for key taxa/functions - establish standards of practice in
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of machine learning Distributed and federated training The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics