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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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Epidemiology, Public Health, Health Data Science, or a related field. Applicants should be enrolled in a Master program and the internship should be a mandatory part of the diploma. Experience with R
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Automated Generation of Digital Twins of Fractured Tibial Plateaus for Personalized Surgical plannin
traumatic pathologies are strongly recommended. ➢ A Master’s degree in Health Engineering is recommended. ➢ Proficiency in English is recommended. The desired profile combines scientific rigor, the ability
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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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program, the appointed Chair will benefit from a reduced course load of 64 hours during the fixed-term contract. Basic/translational research proposals should focus on the physiopathology, biology and/or
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Sophia Agrobiotech) and LP2M (Laboratoire de PhysioMédecine Moléculaire) as well as the Inria research institute for computer science and applied mathematics. DYNABIO is dedicated to advancing cutting
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Excellence Programme , which prioritizes the recruitment of female scholars to professorial roles. For an initial period of six months, the University will consider applications exclusively from female
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Sophia Agrobiotech) and LP2M (Laboratoire de PhysioMédecine Moléculaire) as well as the Inria research institute for computer science and applied mathematics. DYNABIO is dedicated to advancing cutting
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, https://hal.science/hal-04930868 . [2] Peyré, G., Cuturi, M., et al. (2019). Computational optimal transport: With applications to data science. Foundations and Trends in Machine Learning, 11(5-6):355–607
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well as computational modeling. The development and numerical implementation of novel methods has become a key issue in modern oncology, both in terms of understanding the biology of cancers and for medical oncology