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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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for integration into diagnostic tools Preparing manuscripts for submission to both medical and machine learning journals Qualifications Candidate profile: Required: PhD in mathematics, statistics, data science
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or equivalent in data science, signal processing or applied mathematics and will require a strong background in theoretical as well as computational aspects of linear algebra, optimization and signal processing
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]. The complexity of these issues is amplified in the FL setting, where each participant has only access to its own data. Candidate profile: The candidate should have a solid mathematical background (in particular
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participate to scientific life of the teams. 3- Profile and skills required We are looking for a candidate with competences in Artificial Intelligence models, medical image processing, and mathematical modeling
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address: ). Your profile MSc degree (or equivalent) in bioinformatics, cheminformatics, chemistry, environmental sciences, mathematics, computer science or related fields Experience in or willingness
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competences in Artificial Intelligence models, medical image processing, and mathematical modeling (Master 2 level). We seek solid programming and IT skills, along with good communication abilities and an
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have a PhD in computer science, mathematics, physics, or related fields, with a passion for programming. A desire to contribute to the development of open-source software within the context of the agreed
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). Indeed, such approaches have a solid mathematical foundation, are invariant with respect to isometries that naturally appear during the 3D acquisition and are extremely more parsimonious with respect
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