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the interaction between network exposure and resource allocation. In this context, your main focus will be to: - Investigate network exposure mechanisms related to 5G core network functions and network
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be expected to teach advanced courses in Artificial Intelligence—particularly in machine learning, statistical learning, natural language processing (NLP), symbolic AI, computer vision, and related
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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and educational issues with the common goal of contributing to an inclusive, open and resourceful society. Your role We are looking for a doctoral candidate with a strong computational, engineering
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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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(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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(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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Background Cardiovascular disease (CVD) remains the leading cause of death worldwide and exerts a disproportionate burden on individuals living with type 1 diabetes (T1D). Despite advances in care, traditional risk prediction models like the Steno Type 1 Risk Engine fail to account for the...
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Research Fund (FNR) in the framework of its Program for Research Intensive Doctoral Education (PRIDE ), we are currently offering 5 PhD (Doctoral Candidate) positions for a duration of up to three years