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, and researchers across Europe in the multidisciplinary field of HPC, including related areas such as emerging technologies and their cross-cutting dimensions. The vision for EVITA is a thriving European
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Multi-mentor teams (faculty + industry + academic + overseas scholars) with customised career design Access to best national infrastructure (Cryo-TEM, HPC, etc.) Incentives for high performers: extra
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HPC environments Good communication skills to interact with collaborators ranging from machine learning researchers to pathologists or medical students Knowledge of biology and medicine is a plus Highly
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live in. Your role Since 2006, the University of Luxembourg has invested in its own High-Performance Computing (HPC) facilities. Special focus was laid on developing large computing power combined with
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Postdoc "Interferometric SAR Data Processing and Analysis for Implementation in the 3D-ABC Founda...
, large-scale AI, generative AI, and Exascale HPC to detect, quantify, and characterize key parameters of the global carbon cycle at high spatial resolution with a focus on above and below ground
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, preferably in Python, Fortran, Matlab or R #experience in the environment of High Performance Computing (HPC) is desirable, but not mandatory #capability to work in a team but able to formulate and carry out
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exchange and interaction state of the art computing infrastructure (HPC) salary assigned according to the pay scale UKF standard social benefits, e.g. UKF job ticket UKF Your tasks: develop and optimize
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for applying to the University of Luxembourg and its HPC Certified copies of degree certificates, incl. a transcript of courses taken (with grades) Names and contact details of three referees Early application
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data, in particular single cell data and/or spatial data Experience in method development Experience working on servers and/or in a HPC environment Personal qualities We are looking for a researcher who
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learning packages (e.g. PyTorch, Keras) Experience with HPC and scientific workflow management tools (e.g. Nextflow, Snakemake) Experience with single-cell data analysis (e.g scanpy, scvi), and/or spatial