Sort by
Refine Your Search
-
independent research group in Immunology. The successful candidate will be expected to develop a bold, innovative, and high-impact research program that complements and enhances INEM’s scientific strengths
-
(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
-
(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
-
groups and world-class core facilities. The key selection criterion will be the motivation and ability to work in an interdisciplinary team and to manage ongoing research efforts with a high level of
-
accommodations EXPECTED RESEARCH OUTPUTS (5-year period) • 3 high-level international publications in virology • 1 collaborative publication on anthropic/environmental factors in viral zoonoses • 3-5 oral
-
the technical side, we aim at combining statistical latent variable models with deep learning algorithms to justify existing results and allow a better understanding of their performances and their limitations
-
these methods to detect micro-seismic events in borehole and underwater DAS data based on their long-range coherence rather than their energy [2]. Although they achieved superior performance and are built
-
within a coherent computational model is currently challenging, due to the typical large dimension and complexity of biomedical data, and the relative low sample size available in typical clinical studies
-
these applications are generating structured, high-dimensional data with non-trivial and intricate geometric properties. These data often display complex relationships and dependencies that go beyond
-
, its features, or the actual model parameters, to (ii) poisoning attacks that target the integrity of the ML model and cause a general degradation of the performance of the model