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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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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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. 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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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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. To meet the general entry requirements for doctoral studies, you must: Hold a Master’s degree in computer science, image analysis and machine learning, engineering, data sciences, applied mathematics
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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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within Computer Science, Mathematics, Electrical Engineering, or a closely related subject area. You must have a Master's degree in Computer Science, Mathematics, or a closely related area or equivalent
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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
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We would like to recruit our new colleague ourselves. Acquisition in response to this vacancy will not be appreciated. Would you like more information? Prof. W.T.S. Huck (Wilhelm) wilhelm.huck@ru.nl