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degree or equivalent Diploma degree Preferred fields of study: Computer Science, Information and Computer Engineering, Software Engineering and Management, Mathematics, or equivalent disciplines Extensive
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 1 month ago
management. At the same time, agentic AI introduces significant privacy and security challenges. Agents may accumulate and process sensitive personal information, use it to interact with external services, and
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of this call is linked to the CEMI project, the completion of which is scheduled to end in September 30, 2028. Where to apply Website https://sede.udc.gal/services/electronic_board/EXP2026/009316 Requirements
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management, critical and analytical thinking, precision, and focus. Desirable: Expertise in respiratory, audio or sleep signal analysis and modelling Knowledge of Matlab, Python, and/or R and tools and
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using large administrative datasets Preparing analytic datasets and documenting data management procedures Developing statistical code and producing tables, figures, and technical appendices Contributing
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on facility location, storage, processing capacity, procurement, and inventory management. The project combines: stochastic and robust optimization, uncertainty modelling, large-scale supply chain design, and
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science » Information management Economics » Marketing Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 9 Sep 2026 - 23:59 (Europe/Sofia) Country Bulgaria Type of Contract
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Alcalde Rovira Roure 191Geofield Contact State/Province Lleida City Lleida Website http://www.agrotecnio.org/ Street Av. Alcalde Rovira Roure 191 Postal Code 25198 E-Mail administration@agrotecnio.udl.cat
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29 Jul 2026 Job Information Organisation/Company Karl Landsteiner University of Health Sciences Department Human Resources Management Research Field Neurosciences » Other Medical sciences » Cancer
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Experiments (DoE) and Bayesian optimization, manage research data using the NOMAD research data infrastructure, and apply data-driven optimization strategies. Analyze and interpret experimental data