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team within the University of Luxembourg aims at: Driving the National Competence Centre activities in Luxembourg to facilitate High-Performance Computing uptake Providing tailored HPC-related training
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and simulation and have high performance computing resources on-site. They expand into emerging frontier areas, such as they did, for example, over the past decade in quantum information and quantum
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→ cell → patient Integrate multi-modal data (genomics, transcriptomics, biosensors, EHR) Perform single-cell and spatial multi-omics analyses at scale Lead high-impact publications and contribute
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, practical experience with Linux/Unix, High Performance Computing, and scientific programming is recommended or the willingness to learn these skills, basic expertise with scientific data analysis, good skills
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Analyze high-throughput datasets using R or similar software tools Present research findings in meetings Document performed experiments in a lab book to ensure reproducibility Contribute to the preparation
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simulations, virtual screening, quantitative structure activity relationship modeling, and chemical informatics. The applicant must also be comfortable using high performance computing resources; and developing
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) 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 of teaching and
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) perform in-silico interventions (e.g., gene knock-outs) that create testable hypotheses that will guide future wet-lab experiments. Your mission Lead the development of mechanistic machine learning models
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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This is an opportunity for a Lead Researcher to join the Kriwacki lab to contribute to cutting-edge, NCI-funded research focused on fusion oncoproteins. As part of the lab and broader program team