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About the FSTM The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of...
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We are looking for a Postdoc candidate to study the role of specific nicotinic acetylcholine receptors (nAChRs) and of a frequent human nicotinic receptor gene variant in cocaine use disorders in
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Nicotinic acetylcholine receptors (nAChRs) are neurotransmitter-gated ion channels playing a major role in the nervous system. Their dysfunction is linked to severe psychiatric and neurological diseases such as nicotine addiction, schizophrenia or Alzheimer’s disease. Their architecture,...
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for competitive fellowships during their first year with us. The ideal candidate will be recruited by summer 2025. We are particularly seeking postdoc candidates who have recently completed their PhD with a
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Postdoctoral position - Izabela Sumara laboratory, IGBMC, Strasbourg, France: "Restoring homeostasis of nuclear pore complexes in human disease" Where: A new postdoctoral position is available in the laboratory of Izabela Sumara at the IGBMC in Strasbourg, France: https://www.igbmc.fr The IGBMC...
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bioinformatics postdoc (both already on board), as well as with other researchers based at the Institute (Franck Bielle, Nicolas Renier), and at Harvard Medical School (Keith Ligon, Sandro Santagata, Peter Sorger
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to work with and develop state-of-the-art statistical and mathematical methodology to improve understanding of epidemic dynamics and control. Recruited postdocs will work on one of the new projects starting
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exciting opportunities for machine learning to address outstanding biological questions. The postdoc to be recruited will be working on the development of machine learning methods for single-cell data. In
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data. 2 Postdoc Subject The main goal of this postdoc is to develop open-world 3D scene understanding models through the fusion of LiDAR-based models and VLM. This goal can be achieved by solving
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focused on deep-phenotyping of individuals with autism and controls including brain imaging (MRI, fMRI, DTI and EEG) and a battery of cognitive tests. Our group is currently developing new methods