12 electric-machine-design-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in Belgium
Sort by
Refine Your Search
-
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
-
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
-
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
-
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
-
. We value collaboration, creativity and mutual support. The successful candidate will join an internationally connected and interdisciplinary research environment that combines conceptual innovation
-
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
-
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
-
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
-
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
-
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