12 electrical-machine-design-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in Belgium
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embedded in a team with extensive expertise in AI and machine learning for computational biology and chemo-informatics. This will provide the opportunity to design novel machine learning approaches
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the structure of real prospection activities by integrating multiple, heterogeneous geospatial and archaeological data layers. Within this environment, we will design and evaluate new reinforcement learning
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of machine learning methods for archaeological predictive modelling / site discovery Contribute to the design of the archaeological search-process simulator used to train and evaluate AI methods Write grant
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Detection Sensors research within the group, in close collaboration with the optics laboratory at Ghent University (UGent). Whereas all current gravitational wave detectors operate at 1064 nm, ET and
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. We value collaboration, creativity and mutual support. The successful candidate will join an internationally connected and interdisciplinary research environment that combines conceptual innovation
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particular focus of the Luxembourg position will be the co-design of a process for participatory actionable knowledge co-production including data collection, analysis and meaning-making in groups with a range
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isolation systems based on the Advanced Virgo Multi-SAS and ETpathfinder designs. You will work closely with the international suspension teams within the Virgo collaboration on the construction and on-site
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technology diffusion and culture. The candidate will be working under the supervision of Professor Skerdilajda Zanaj. In particular, the candidate will be in charge of: Conduct research and contributing
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within BioCLEAR’s team, led by Prof. Siegfried Vlaeminck, and will contribute to BioVal , a Horizon Europe research and innovation action with research activities led by dr. Luis Diaz Allegue and prof
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the current non-targeted metabolomics and lipidomics platforms based on LC-QTOF-MS and GC-QTOF-MS for the specific needs and characteristics of these matrices. To develop and validate targeted metabolomics and