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to establish a robust preclinical foundation for further clinical development. The position is available from September 2026 onwards. •You are about to receive/hold a Master’s degree in Biology, Biochemistry
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12 Jan 2026 Job Information Organisation/Company KU LEUVEN Research Field Engineering » Materials engineering Researcher Profile First Stage Researcher (R1) Country Belgium Application Deadline 1 Jul 2026 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Offer Starting Date 1 May...
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data and therefore may fail to capture the dynamic, context-dependent nature of identity development and learning processes in young people.The IAmAI project proposes an innovative participatory
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agencies, generating extra opportunities for future career development Access to training and expertise for laboratory techniques For further information, if interested, please contact lab manager Marleen
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development.•A correct and beneficial salary.•Numerous opportunities for personal growth, illustrated by e.g., conference participation, “doctoral schools” courses on transferable skills, participation in
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stimulating and pleasant working environment, where academic freedom, commitment, critical thinking and personal development are paramount. a place in a close-knit team that delivers high-quality teaching and
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Reference Number BAP-2026-5 Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD project centers on the development of a computational platform model for a
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will carry out a PhD project based on the development of potential treatment option for dolichol synthesis defects, a type of rare glycosylation disorder (see review: 40902550). Currently, there is no
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environment, with the utmost respect for academic freedom, commitment, critical thinking and personal development. For more information please contact Prof. dr. Tim Opgenhaffen, mail: tim.opgenhaffen
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Infrastructure? No Offer Description The PhD candidate will work on the development of advanced statistical and machine learning methods for time series prediction, with applications mainly in the field of traffic