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at a maximum level of 20 %. Requirements To meet the entry requirements for doctoral studies, you must hold a Master’s (second-cycle) degree in Machine learning, Computer science, Bioinformatics
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well as topics in phylogenetics. This project will involve working closely with experimentalists, and will be co-supervised by Prof Gerald McInerney and Dr Daniel Sheward, who have expertise in virology and
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application to Prof Dr Wolfhard Janke Institut für Theoretische Physik Universität Leipzig 04081 Leipzig Germany Possibility of finding part-time employment See offers in the student job market organised by
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details of the project informally, please contact: Prof Hywel Morgan, Digital Health and Biomedical Engineering Research Group, Email: hm@ecs.soton.ac.uk Entry Requirements A very good undergraduate degree
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Applications are invited for a position in the rapidly expanding data analytics run by Prof Adam Dubis. The main focus of the team is to develop deep learning tools for prediction of disease progression
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information about the position, please contact Prof. Andreas Jung (anjung@purdue.edu ). Contact: Jung, Andreas (anjung@purdue.edu ) Letters of Reference should be sent to: anjung@purdue.edu Apply now Posting
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immediately. For information about the position, please contact Prof. Andreas Jung (anjung@purdue.edu ). Purdue University is an Equal Opportunity Affirmative Action Employer. Applications from minority and
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. David Marlevi, Prof. Ulf Hedin, and Dr. Ljubica Matic to improve stroke risk prediction for patients with carotid atherosclerosis using a multidisciplinary combination of data-driven imaging
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Supervisory Team: Prof Neil Sandham PhD Supervisor: Neil Sandham Project description: This project is focused on scale-resolving simulations (large-eddy and direct numerical simulation) combined
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powerful" (with Prof Mandel) "Convection, Rotation, and Magnetic Fields in Massive Stars" (with Prof Mandel) "Numerical Methods for Neutrino Transport" "Connecting supernova explosions to neutron star and