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Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD position in
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active. The PhD will be supervised by Prof. Wouter Saeys and Dr. Bart De Ketelaere, with support from industrial partners. A (nearly) completed Master’s in Engineering (Bioscience, Electrical/Computer
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Science, or a related technical field Master's or PhD degree in Machine Learning, Computer Vision, or related areas will be advantageous Preferred Qualifications: Experience with biological/ecological
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Chair Prof./Prof./Associate Prof./Assistant Prof./RAP in Faculty of Computer & Mathematical Sciences
OF COMPUTER AND MATHEMATICAL SCIENCES Department of Applied Mathematics Department of Computing Department of Data Science and Artificial Intelligence For more information about PolyU, its faculties, schools
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per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content In autumn 2010, the Center for Infection Biology (ZIB) launched
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degree in Engineering or a PhD) • Extensive knowledge of Computational Fluid Mechanics (typically a Master’s degree in Engineering or a PhD) • Experience with supercomputing clusters and queueing systems
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Computer Applications: Preferred Other Computer Applications: Preferred Additional Knowledge, Skills and Abilities: Email to a Friend https://unmc.peopleadmin.com/postings/95292
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 7 days ago
» Computer engineeringEducation LevelMaster Degree or equivalent Skills/Qualifications Admission Requirements: To be enrolled at a PhD. Additional Information Benefits Monthly maintenance allowance: According
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Date: Overview The hourly rate for this position is $22.39 per hour and is non-negotiable. Graduate Level 1 or above: Pursuing a Master's Degree or PhD in Computer Science, Electrical Engineering
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parallel, it produces new, high-resolution computer models of the warm Last Interglacial period. Finally, PAST creates new knowledge by synthesising these two approaches through advanced statistics. This PhD