33 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" Postdoctoral positions at University of Luxembourg
Sort by
Refine Your Search
-
: Weicker Building Internal Title: Postdoctoral researcher Job Reference: UOL07967 The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 85176 (full time). Where to apply Website https
-
: Postdoctoral researcher Job Reference: UOL07923 The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 85176 (full time) Where to apply Website https://www.aplitrak.com/?adid
-
and optimization, we use tools such as artificial intelligence/machine learning, quantum conputing, graph theory, graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
-
We are seeking a highly motivated Postdoctoral Researcher to join the FNR AI-HPC 2025 BRIDGES project GenePPS, which investigates how machine learning can enable prediction of gene perturbation
-
experience in the following areas: Applied Machine Learning for Autonomous Systems: Experience developing and deploying ML models for perception, prediction, or decision-making in autonomous driving or robotic
-
technologies (fiber-optic sensors, DIC), and computer science (machine learning tools) in collaboration with de department of Physics. The aim of the BriCE project is to develop a novel bridge monitoring
-
Validation (Serval) research group and work on a research project related to the application of machine learning for official statistics. The subjects of the research are: AI-assisted Bond Issuance, Causal
-
on neurodegenerative processes and are especially interested in Alzheimer’s and Parkinson’s disease and their contributing factors. The LCSB recruits talented scientists from various disciplines: computer scientists
-
on neurodegenerative processes and are especially interested in Alzheimer’s and Parkinson’s disease and their contributing factors. The LCSB recruits talented scientists from various disciplines: computer scientists
-
transcriptomics, and genome-scale auto-antibody profiling, the project seeks to uncover novel immune mechanisms underlying early neurodegeneration and identify potential predictive biomarkers and therapeutic