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- Delft University of Technology (TU Delft); Published yesterday
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PhD: responsible biomedical innovation and transition to animal-free research Faculty: Faculty of Geosciences Department: Department of Sustainable Development Hours per week: 32 to 40
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can be part of the selection procedure (for details: national knowledge security guidelines ). Where to apply Website https://www.academictransfer.com/en/jobs/357917/phd-position-on-quantum-simulat
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the future of sustainable protein crops in the Netherlands? Are you excited about combining plant physiology, genetics, and cutting-edge phenotyping to advance the protein transition? Then one of these two PhD
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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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PhD position on debris flow magnitude and frequencies Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 16 February 2026
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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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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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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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) group, we are looking for a PhD candidate. The project background The blue economy is increasingly vital for maritime countries such as Indonesia and the Netherlands. The ocean supports diverse functions
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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