44 component-labeling-agorithm-cuda PhD positions at University of Groningen in Netherlands
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are compulsory and please note that incomplete application packages will not be taken into account. An assessment may be part of the procedure, consisting of psychological tests and an interview. You may apply
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L. Dugdale, Dr Viktor A. Venhorst and Dr Stephen A. Adaawen. The project is in collaboration with Profs Jan Komdeur, Terry Burke and David Richardson, as part of the Seychelles warbler research group
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finance obligations as part of the moral relation between financial institutions and society. In analysing the various dimensions of this relation, the project can draw on core research expertise at FEB
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universities and networks worldwide to become a truly global center of knowledge. Project aim This project is part of a ZonMw-funded collaboration between the Melgert and Prekovic labs and aims to uncover how
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progress in the first year to indicate that a successful completion of the PhD thesis within the contract period is to be expected. A PhD training programme is part of the agreement and the successful
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Godwits and other migratory grassland birds in West Africa. In addition, the candidate will have the opportunity to be part and be trained in field work to catch, colour-ring, and deploy GPS tags on Black
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the next three years is to be expected. A university PhD training programme is part of the agreement and the candidate will be enrolled in the Graduate School of Science and Engineering. Application Do you
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interdisciplinary approach, combining diverse expertise to generate new insights into the conditions and processes that gave rise to life. As part of this initiative, we offer 15 exciting PhD research projects
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, which is part of the Faculty of Science and Engineering (FSE) at the University of Groningen. The University of Groningen, established in 1614, is one of the oldest and largest research universities in
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mechanics at the atomic scale. In this project, the University of Groningen will develop an array of state-of-the-art machine learning potentials for multi-component alloy systems that are relevant