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the Electrical Systems Unit, looking for talented and motivated candidates to work on control solutions for renewable energy and storage grid integration using Virtual Power Plants. Tasks Description: R&D in
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studied Specific Requirements Familiarity with statistical programming languages (e.g., R and/or Python) will be valued. Familiarity with statistical programming languages (e.g., R / RStudio and/or Python
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acronym SEGVAUTO5G-CM, and reference TEC-2024/ ECO-277, awarded in the call for R&D Activities Programmes in Technologies 2024 through the Directorate General for Research and Technological Innovation by
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planetary science, remote sensing, or lunar/space data analysis. Proficiency in machine learning (supervised/unsupervised learning, neural networks, etc.). Strong skills in data processing (Python, R
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HPC provision in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both
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and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries. Look at the BSC experience: BSC-CNS
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Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and
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the Rules of the call. Additional comments The recruitment of research and technical staff at FIISC follows the principles set out in the OTM-R policy (open, transparent and merit-based recruitment), in
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-resolved transcriptomics, or similar). Programming experience (e.g., R, Python, MATLAB) and familiarity with relevant bioinformatics pipelines. Interest in neuroscience, developmental biology, and evolution
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, transparent, and merit-based selection (OTM-R) Where to apply E-mail malonso@tpnbt.com Requirements Research FieldOtherEducation LevelMaster Degree or equivalent Skills/Qualifications Essential: - Bachelor’s