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more. The postdoc fellow will be working on a wave-function picture of open quantum dynamics, including the effect of measurement. The applicant should be a creative and motivated researcher with
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) detection, we will make AI for medical imaging transparent, robust and data-efficient. Position Overview As a postdoctoral researcher, you will forge next-generation explainable medical foundation models. You
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researchers in the group to build and run safe and effective experimental setups to perform X-ray imaging of fluids in porous media, including experiments at elevated pressure and temperature and with gases
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supportive management. The team is hosted at the Earth and Life Institute (Climate Division ), part of UCLouvain and located in Louvain-la-Neuve, Belgium. The Climate Division brings together about 100 people
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. The researcher will have access to the expertise developed in the bio and soft matter division of the IMCN research institute (https://uclouvain.be/en/research-institutes/imcn/bsma ) as well in the research groups
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methods of neural-microglia interactions, complementing already established multi-omics approaches: non-destructive fluorescence lifetime imaging microscopy (FLIM), mass spectrometry imaging and Raman
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imaging of mouse and human urothelium, X-ray videocystometry in awake mice, and optogenetic modulation of urothelial cells. The candidate will design and conduct experiments exploring mechanosensitive ion
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investigating sensory signaling in the bladder wall and its role in lower urinary tract disorders (LUTd). The project involves advanced techniques such as ex vivo calcium imaging of mouse and human urothelium, X
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this specificity and test how these regulate structure and function of higher-order thalamocortical inputs in cortical circuits. The applicant will use various technologies, including super-resolution imaging
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Scene Synthesis: Re-design diffusion and NeRF-style models so multiple agents jointly reconstruct a scene. Cooperative Scene Understanding: Re-design semantic segmentation and object-detection models in a