162 web-development "https:" "https:" "https:" "Fraunhofer Gesellschaft" PhD positions in Belgium
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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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legal research methods. You possess demonstrable didactic skills. Preferably, you already have experience in developing research proposals. You are motivated by autonomy and responsibility and strive
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anticipate, prepare for, or respond to disruptions that originate deep in their upstream network. This PhD project aims to develop a formal framework for supply chain visibility and resilience using tools from
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of microorganisms in it. Within the research group, an in vitro system was developed that allows the process to be efficiently studied, manipulated, and monitored. In this way, the patterns and underlying mechanisms
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sustainability of mobility systems in suburban areas by designing and developing optimization-based strategies for on-demand services, optimally integrated with innovative charging technologies. We will develop
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, proteomics, microscopy, structural biology, technology development, and bioinformatics at VIB-UAntwerp Center for Molecular Neurology (https://cmn.sites.vib.be/ ), at VIB (https://vib.be/ ), and at UBirmingham
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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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programme Reference Number 256/DRB/012 Is the Job related to staff position within a Research Infrastructure? No Offer Description Your function As a doctoral researcher, within this project, you will develop
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on developing the next generation of approaches for analyzing spatiotemporal data arising from sports matches (e.g., tactcal analyses, player/team evaluation, …). See https://dtai.cs.kuleuven.be/sports 4) 1-2
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics