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the selection process. About the department The PhD candidate will work under the supervision of Dr. Marcello Carioni and will be part of the group “Mathematics of Imaging and Artificial Intelligence” (MIA
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individual PhD project, combining cutting-edge science with training in personal development, ethics, regulation, and societal impact. The program offers excellent supervision, interdisciplinary collaboration
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positions within the REAP2SOW programme may be the perfect fit for you! We are looking for two motivated PhD candidates who will work together on understanding and improving emerging Dutch protein crops
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understanding how novel protein crops can be (re)integrated into existing farming systems? Then this PhD position within the REAP2SOW programme might be for you! We are seeking a highly motivated PhD candidate
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you a highly-motivated researcher looking for a PhD position for performing state
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together with stakeholders. As urban transformation processes struggle with climate risks, housing pressure and financial feasibility, there is an urgent need to rethink how we can reinvent this process and
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking a highly motivated PhD candidate to investigate how quinoa
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into industrial repair and remanufacturing practices. This large, interdisciplinary national research programme consists of 15 PhD projects which will contribute to the development of innovative methodologies
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understanding how novel protein crops respond to abiotic stress? Then one of these 2 PhD positions within the REAP2SOW programme might be suited for you! We are looking for two enthusiastic and motivated PhD
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As a PhD candidate, you will: - Develop and train deep-learning