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With support from its “Special Research Fund” (BOF) Ghent University grants PhD “sandwich” scholarships to promising PhD students from Global South countries who wish to carry out half of their PhD research at Ghent University ('North') and half at a university in the Global South ('South')....
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, for the preparation of a doctorate, contains: The PhD student will be working on the development of novel spectroscopic sensors, in the framework of the FWO-funded research project on Functionally
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the preparation of a doctorate, contains: The PhD student will be working on the development of novel spectroscopic sensors, in the framework of the FWO-funded research project on Functionally GRaded Additive
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With support from its “Special Research Fund” (BOF) Ghent University grants PhD “sandwich” scholarships to promising PhD students from Global South countries who wish to carry out half of their PhD research at Ghent University ('North') and half at a university in the Global South ('South')....
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funded by a EU programme Reference Number BAP-2025-618 Is the Job related to staff position within a Research Infrastructure? No Offer Description Forces and Human Blastoid Development
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25 Nov 2025 Job Information Organisation/Company KU Leuven Department Faculty of Arts Research Field History » Modern history History » Archaeology History » Local history History » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Belgium Application...
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are seeking a highly motivated PhD student to join a collaborative project focused on developing genetic risk scores as biomarkers for neurological disorders. The Rademakers lab leads cutting-edge research
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developing genetic risk scores as biomarkers for neurological disorders. The Rademakers lab leads cutting-edge research into risk genes and molecular mechanisms in Frontotemporal Dementia (FTD), while
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. the light curves and spectra) of these stars analytically and through numerical methods, based on binary stellar evolution models. You will also investigate potential observable signatures of binary evolution
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inverse problems. The team aims at developing Bayesian computational methods for such (ill-posed) inverse problems and aims both at increasing their validity and at reducing their computational cost. In