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collaboration with ETH Zurich (Switzerland). Within this project, we are seeking a full-time postdoctoral researcher who will play a key role in the development, optimization, and fundamental understanding
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expertise into ongoing and new research projects, the research contributes to the further development of the research and service profile of LANUPRO (Lanupro — Department of Animal Sciences and Aquatic
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description You will work at the interface of experimental biophysics, mechanobiology, and quantitative biology, developing and applying innovative approaches to characterize mechanical phenotypes across scales
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assignment will be spent on academic research. This includes further developing your existing research portfolio, as well as potentially taking on new research-related assignments. In the short term, you will
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computational genomics and Alzheimer’s disease to develop and/or apply computational approaches to large scale genomic or transcriptomic datasets for identification of targets for early detection, prevention
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floaters, using a new generation of photosensitizers recently developed in our laboratory. The project combines principles of ophthalmology, optical physics, and pharmaceutical sciences, with the goal
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by VIB.AI Scientific Director Stein Aerts, is seeking a talented postdoctoral researcher to develop next-generation sequence-to-function models for glioblastoma (GBM). Glioblastoma is the most
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%) postdoctoral scholarship holder in the field of redox flow batteries. More specifically, you will actively work within the frame of the European research project RECHARGE (https://elcat.be/erc-starting-grant
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are experimentally driven and supported by COMMLab, 6GSPACE Lab, HybridNetLab, QCILab, TelecomAI Lab, CSAT Lab, our SW Simulators, and our Facilities. For further information, you may refer to https://www.uni.lu/snt
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modalities, this project will bridge the gap between routine practice and high-fidelity anatomical analysis. The core scientific objective is to develop a unified pipeline that integrates generative AI