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-quality training and learning materials, and a sustainable plan. FSTM's main tasks are to contribute to the definition of the body of knowledge and competencies, assist in developing the skill tree used as
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this initiative, the Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg plays a leading role in developing AI training programmes, coordinating talent development activities, and
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history. In this role, you will help us achieve Impresso's goal to link historical newspaper and radio collections and to develop novel interfaces to enable their exploratory and computational analysis
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The project will be developed in the host laboratory(SIMHEL/U978) whose main pathophysiological models are two CD5+chronic B cell neoplasms (chronic lymphocytic leukemiaand mantle cell lymphoma
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fellowship program aiming at attracting talented scientists to develop their two-year project in Breton laboratories. See full details here: https://bienvenue.bretagne.bzh/funding-opportunities/bienvenue
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The successful candidate will develop computational approaches to discover, model, and develop therapeutic strategies. Examples of potential approaches include: -Network Modeling: Creating
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of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we
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fellowship programme is embedded in a cutting-edge research environment and will startonOctober1,2025. Admission to one of the structured and well-established Master programmes in Biological Sciences
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within the Faculty. Along with the disciplinary approach a very ambitious interdisciplinary research culture has been developed. The faculty's research and teaching focuses on social, economic, political
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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