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Applications are invited for a Research Assistant/Associate position to work in the groups of Dr Felipe Karam Teixeira and Professor Richard Durbin at the Department of Genetics in central Cambridge
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research on secure algorithms and protocols for privacy-preserving analysis of genomic and clinical data. Develop and integrate methods for variant filtering, prioritization, and rare-variant association
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Project advert We are looking for a PhD candidate with a background in human physiology or biomedical engineering/computer science to develop new ways to measure healthy ageing from genetic and
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of peptide design and chemistry, computational methods (machine learning, deep learning, genetic algorithms), microbiology, synthetic biology, and related areas essential to developing novel
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for combined network design and resource pricing, incorporating fairness for different transport aspects (e.g., accessibility, emissions, safety) employ state-of-the-art metaheuristic algorithms (e.g., genetic
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theoretical research is focused on embodied neuroAI, recognising that the body influences biological neural networks, the continuity of actions, and sensory inputs. Leveraging advancements in Drosophila genetic
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analysis, with possible specialisations in genomic and molecular biology techniques as well as in algorithms, statistics and artificial intelligence for molecular genetics. This is based on perspective and
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maintenance. 4. Automated Design Optimization: Reinforcement learning and genetic algorithms will be applied to optimize CFDST geometries and material configurations for maximum efficiency and durability. By
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, incorporating fairness for different transport aspects (e.g., accessibility, emissions, safety) employ state-of-the-art metaheuristic algorithms (e.g., genetic algorithms, simulated annealing) to solve large
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, incorporating fairness for different transport aspects (e.g., accessibility, emissions, safety) employ state-of-the-art metaheuristic algorithms (e.g., genetic algorithms, simulated annealing) to solve large