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within a coherent computational model is currently challenging, due to the typical large dimension and complexity of biomedical data, and the relative low sample size available in typical clinical studies
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, ranging from biological to clinical features. The integration of such heterogeneous information within a coherent computational model is currently challenging, due to the typical large dimension and
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for the European Higher Education Area ) in pharmacy, chemistry or a similar subject and a minimum of 4 years’ professional experience in a similar role (e.g. developing and/or maintaining stakeholder engagement
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spoken and written is required The candidat must have a PhD in computer science, machine learning, or computational biology The position is available immediately and will remain open until filled
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Master/engineer degree in computer science, applied mathematics, data science with background in image processing, imaging inverse problems, deep learning and optimisation. Good coding skills for numerical
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together world-class researchers from various fields, including neurophysiology, computational neuroscience, auditory cognition, genetics and genomics, cell biology and gene therapy. It is located in
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Sciences (FHSE) at the University of Luxembourg brings together expertise from the humanities, linguistics, cognitive sciences, social and educational sciences. People from across 20 disciplines are working
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to the ontogeny of health and disease. This project was selected for funding by the ERC-CoG-2024 call and the Impulscience program from fondation Bettencourt Schueller.
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with mouse models of infection will be appreciated. We are looking for strongly motivated and highly collaborative candidates having good communication skills in English and a sense of team spirit
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Context Conventional optical microscopy techniques, such as confocal microscopy, are widely used in biology for investigation on cellular and sub-cellular structures. However, their spatial