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planning of both simple and complex tibial plateau fractures, based on the internationally recognized Schatzker and AO classifications. The completion of this project requires the design, development, and
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ParkinsonNet Luxembourg promotes patient-centred care by training healthcare providers to identify and address the specific Parkinson's related needs of each patient and by facilitating
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sciences, medicine), with a primary focus on the four year Midwifery Sciences Bachelor program. The holder will be involved in the selection of students, the establishment of the training plan, preparation
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the research project RELIANCE: “REaL-life cANCEr epidemiology” based on identifying risk factors for cancer, which focuses on identifying risk factors for cancer, with particular emphasis on prevention and care
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twofold: i) understanding how the brain unlearns, may help us design new strategies against mental health conditions in which unlearning is impaired, such as post-traumatic stress disorder or addiction
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the internal team on advanced spintronic applications. • Monitor emerging trends in MRAM, magnetic sensors, and neuromorphic computing to guide innovation. • File patents and help build Spin-Ion’s intellectual
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programme 'Bachelor of Nursing in General Care' started in September 2024, while two more bachelor programmes - Midwifery and radiographer/clinical imaging - are set to commence in September 2025
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) models. Little attention has been paid to other models like graph NNs (GNNs) or PCA. Among the few existing works in the literature, [2] proposes an FL algorithm to compute PCA in a DP fashion, but the
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Virtual laboratory to predict the ability of a fluctuating biomass to satisfy a material use-VARIOUS
use without the need for an exhaustive analysis of each biomass. In the VARIOUS project, we propose to use statistical physics, already used by the ECN to design non-renewable materials. You will
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generative context. A first goal of this Ph.D. will be to propose a generative DLVM model specifically designed for massive heterogenous data. Regarding the problem of model selection in this context, some