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-doctoral-fellow-in-optim… Requirements Research FieldComputer science » InformaticsEducation LevelPhD or equivalent Additional Information Work Location(s) Number of offers available1Company/InstituteTélécom
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pressure. The work will involve the synthesis, development, characterization, and evaluation of the coatings to assess their resistance to atomic oxygen. Missions and contributions will include: Designing
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, assembly, adaptation, operation, and optimization of plasma systems and reactors; on the processing of liquid materials and precursor suspensions; on the treatment and processing of materials by thermal
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dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified
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application! The workplace You can read about the workplace at Division of Applied Mathematics, WASP at Department of Mathematics and Work at MAI . Work assignments As a postdoctoral researcher, you will
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Universiteit Amsterdam welcomes applications for a two-year Postdoctoral position in Reinforcement Learning for Stochastic Optimization. The candidate is expected to conduct high-quality research
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
, drug loading, and release performance. Key Responsibilities * Design and fabricate microneedle array patches using CLIP 3D printing * Develop and optimize loading strategies and polymer formulations
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: • Developing and optimizing DGT passive samplers for simultaneous monitoring of PFAS, antibiotics, and biocides • Designing and conducting laboratory experiments (performance tests, kinetics, microcosms
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optimization technologies are revolutionizing the way power grid is operated and planned. CEEESA is seeking talented and motivated researchers to enhance its capability in solving energy challenges using
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. The group will be contributing to the Physics Modeling (MC software, MC validation and Pileup modeling), the MET High-Level Trigger validation, optimization and performance studies, and to the heterogeneous