58 evolution "https:" "https:" "https:" "UNIVERSITY OF LUXEMBOURG" PhD positions at KU LEUVEN
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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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enrolled to the Doctoral School in Sciences and Engineering of the University of Luxembourg. Even if you graduate only in June or September 2026, you can apply. The starting date of this research position is
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in the heart of Europe. For more information please contact Prof. dr. Vishal Jose, mail: vishal.jose@kuleuven.be Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs/60605765?hl=en
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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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through comprehensive training, career development, and networking. http://set.kuleuven.be/phd The remuneration is generous and in line with standard KU Leuven rates, consisting of a net monthly salary of
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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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the domain of Professional Training & Development & Lifelong Learning at O2L, we are looking for a PhD candidate with an interest in adult education and lifelong learning. Specifically, you will contribute
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to antibiotics are rising. This doctoral research project aims for localized delivery of beneficial microbiomes to support robust healthy biofilm development. The project encompasses (i) electrospinning and
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thinking and personal development. For more information please contact Prof. dr. Paul Schoukens, mail: paul.schoukens@kuleuven.be .In case of problems with the online application, please contact solliciteren
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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