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updated with the latest advancements in AI and deep learning methodologies, ensuring cutting-edge technical standards. Methodological Development: Develop customed deep learning architecture and/or
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. This pluridisciplinary research team is led by Claudine Backes, PhD, Scientific Director of the National Cancer Registry of Luxembourg (Registre National du Cancer (RNC)) and head of the Cancer and Prevention Epidemiology
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: Professor Pascal Stammet, Study Programme Director of the Bachelor in Medicine Email: Your profile MD diploma (MD-PhD profiles are considered an advantage) Long-standing experience in the teaching of
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. Requirements: We are looking for a highly motivated candidate with a PhD in theoretical/computational physics or applied mathematics. A strong background in quantum mechanics and numerical simulations is
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micro-environment (dendritic cells and anti-tumoral T lymphocytes) and to decipher how immunotherapies impact on these processes. The main objectives of this project are: – to implement single cell RNAseq
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external funding bids, and core funding will be available. We seek candidates with a PhD, who typically will have 2-5 years of postdoctoral experience, an excellent publication record, and who use creative
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(clinical, food, veterinary) at the international level, with the aim of strengthening international collaborative links and securing future funding. Profile Young scientist (PhD and ideally post-doctoral
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: 305,000 euros total funding over the project duration, including: • 199,000 euros for contractual collaborators (PhD students, postdocs, research assistants) • 106,000 euros for operational expenses
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techniques have been demonstrated to enable spin-wave imaging with spatial resolution down to 50 nm with excellent signal to noise ratio. The PhD/postdoc will focus on investigating unexplored spin-wave
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international partners, the program explores how environmental and animal-related factors impact diseases like Alzheimer's and Parkinson's. Adopting an integrated perspective on human-animal-environment