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Field
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to particle separation systems. · Optimize the design of particle-handling systems for the space environment, including the development of robust design criteria · Couple physics-based models and
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a lack of a coherent and mathematically rigorous methodology for how health, environmental and population exposure and vulnerability data can be combined to optimally issue warnings in order to
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Electrical Engineering, Computer Science, or a related discipline. A research-oriented attitude. Solid background in machine learning and optimization methods. Knowledge and experience in (wireless
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in underground facilities. The project aims to evaluate sensor technologies, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Optimizing Integrated Quality and Maintenance Management Systems
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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | about 2 hours ago
: • Experience in the field of oncology. • Knowledge and/or experience in liquid biopsy. • Scientific publications and conference presentations. • Teaching experience. LanguagesENGLISHLevelGood Additional
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
Website https://jobs.inria.fr/public/classic/en/offres/2026-09839 Requirements Skills/Qualifications Strong mathematical background. Knowledge in numerical optimization is a plus. Good programming skills in
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and Drug Delivery Systems for Enhanced Bone Regeneration” (Reference: PROID2025010017). This project focuses on the optimization of additive manufacturing processes (MEX) and scaffold performance
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research group of Prof Emily Shuckburgh, as well as being part of the Centre for Landscape Regeneration (CLR). The CLR is an ambitious programme of research that aims to provide the knowledge and tools
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expertise from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems, neuroscience, and safety and security