Sort by
Refine Your Search
-
Category
-
Field
-
information about the position please contact: Prof. Denis SCUTO Your profile Master's degree in Digital History, Data Science, Historical Migration Studies, Digital Humanities, or a related discipline Proven
-
-intensive PhD training programme, supported by the PRIDE funding scheme of the Luxembourg National Research Fund (FNR) and the programme's partner institutions: University of Luxembourg, Luxembourg Institute
-
, traditional risk prediction models like the Steno Type 1 Risk Engine fail to account for the immunological dysregulation inherent in T1D. Project Objective The PhD candidate will primarily focus on the clinical
-
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
-
collaboration on real-world test cases with industry stakeholders. - Disseminate research findings through publications in leading conferences and top-tier journals. This PhD position offers a unique
-
to work in an interdisciplinary and translational research environment. Fluency in English. Knowledge of French or another EU language is an advantage. Training & Environment This PhD position is hosted
-
Artificial Intelligence (applied mathematics, computer science, etc.), or a thesis defense scheduled for 2025. • Research contributions in deep learning, statistical learning, natural language processing (NLP