142 evolution "https:" "https:" "https:" "https:" "UNIVERSITY OF MACAU" PhD positions in Belgium
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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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application form can be downloaded from the University of Namur website (https://www.unamur.be/en/university/work/forms ). The filled out form (in PDF format) should be returned before 30/04/2026 by e-mail to
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, technology development, and bioinformatics at VIB-UAntwerp Center for Molecular Neurology (https://cmn.sites.vib.be/ ), at VIB (https://vib.be/ ), and at UBirmingham (https://www.birmingham.ac.uk
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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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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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to communicate the accomplished / in-process work to internal and external stakeholders and adapt directions where needed. Where to apply Website https://www.imec-int.com/en/work-at-imec/job-opportunities/machine
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Description Function We are looking for one highly motivated PhD candidate with a master's thesis in cell biology, molecular biology, neurosciences or genetics to join our research group in the Development
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reasoning about tree ensembles. This work will be undertaken in the context of Flanders AI Research Program (https://www.flandersairesearch.be/en ) 3) 1-2 PhD students working with Prof. Jesse Davis
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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