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About the role We have an exciting opportunity to join the Rare Genetic Disorders Research Group led by Prof. Stephan Sanders in the Department of Paediatrics at the University of Oxford as a Full
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relationship to applicant Qualifications The applicant for this position should possess a PhD in Human genetics, Genomics, Bioinformatics, Computer science, or related fields, with a strong track record of
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-photonic computing architectures; Silicon-photonic network architectures Machine Learning Algorithms/Systems: Experience in design and use of ML algorithms; Experience in using ML for designing computing
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animals, while Prof Durbin's works on computational genomics and large scale genome science, including the development of new algorithms and statistical methods to study genome evolution. Moving forward
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diagnostics and antimicrobial resistance (AMR) profiling. Work at the interface of engineering, data science, microbiology and clinical research. Become part of a larger consortium together with Prof. Emma
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involves the use of quantum chemistry, machine learning, and genetic algorithms to search for new homogeneous chemical catalysts. Who are we looking for? We are looking for candidates within the field
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work in close partnership with the wet-lab team and use novel computational approaches and algorithms including A.I. and Bayesian statistical methods to infer causal relationships between mtDNA variants
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, molecular and population genetics, genomics, conservation, and behavior. More information about us, please visit: the Department of Zoology . SciLifeLab is a national research infrastructure. In Stockholm
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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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mammals. We are looking for a postdoctoral researcher with physics or engineering expertise who will design and operate a 3D super-resolution ultrasound system, write control software, build computational