79 high-performance-quantum-computing-"https:" "https:" "https:" "https:" "https:" positions at Nature Careers in France
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advances in mass spectrometry now make it possible to detect proteins at true cytokine-level concentrations with high sensitivity and molecular specificity. Targeted proteomics, in particular, enables
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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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. The successful candidate will be employed at the Department of Computer Science of the University of Luxembourg and have access to high-performance computing resources suitable for large-scale machine-learning and
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(Institute for Research on Cancer and Aging, Nice); ISA (Institut Sophia Agrobiotech) and LP2M (Laboratoire de PhysioMédecine Moléculaire) as well as the Inria research institute for computer science and
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of Geography and Spatial Planning (https://dgeo.uni.lu ), joining the Economic Geography team of Prof. Christian Schulz. The position contributes to the INTERREG-NWE funded AccessHubs project, which examines
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program leveraging Artificial Intelligence (AI) and computational approaches to accelerate mechanistic understanding, target identification, and therapeutic development, as part of the ENACT program (https
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. In addition to being able to compute both the Wasserstein distance and the transport map, our method outperforms model-free methods, in high dimension, even in the case of non-Gaussian distributions
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citizens in their choices, public authorities in their decisions and businesses in their strategies : https://www.list.lu/ How will you contribute? The trainee will work within the LIST AI Technical Sandbox
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programming skills in C++ and/or Python; experience with high-performance or real-time computing, e.g. GPU, multi-core, embedded, is desirable Prior experience with SOFA is a clear advantage; experience with
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neuroscience, clinical neurology, population neuroscience, mathematics and computer science. It has 12 cutting-edge core facilities for data generation across various scales and modalities (genomics