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future. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 17 days ago
maintenance of laboratory workflows, including SOPs and data organization Independent execution and optimization of experimental procedures, with a focus on tissue processing (e.g., perfusions and sectioning
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comprehensive analysis simulations using CAMRAD II at Mars aerodynamic conditions Post-processing and analysis of DNS, CFD, or comprehensive analysis datasets Geometry creation and mesh generation for simulations
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are disclosed in a publicly available list at: https://www.dataprivacyframework.gov/list . Rights of Data Subjects The controller provides you (after contacting the entity conducting the recruitment process and
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Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/137164 Requirements Specific Requirements Skills: The candidate must have skills in (Bio)Process Engineering, Biotechnology and Biochemistry
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construction, installation and preparation work, and monitoring multimedia interactives and exhibit spaces to ensure continuous, optimal operation. This position is part of an exhibition production team
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, namely a steady increase in the number of pixels to be processed. Given the quality requirements imposed by KIDs, this increase in the number of pixels inevitably leads to a rise in bandwidth. However
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of the University of Huelva 2026, aimed at developing the research project “Optimization and testing of the experimental plant for harnessing tidal currents located in the Huelva estuary” (EPIT24532026). (Principal
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‑generation photonic and analog electronic design automation (EDA). You will explore, develop, and validate AI‑assisted methodologies that accelerate the design, optimization, and verification of optical and
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programming, one in optimization, and one in machine learning at least one advanced-level course in stochastic processes, or in related subjects such as time series analysis, spatial statistics, spectral