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of research, in particular the design and development of multisensor acquisition and fusion architectures, applied artificial intelligence and optimization techniques in sectors such as energy, air traffic
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sequences, networks, trajectories, images, etc. - Design, programming, optimization, and parallelization of machine learning algorithms. - Search in repositories and bioinformatics of DNA sequences
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* Synthetic Organic & Medicinal Chemistry Independently design chemical routes and select appropriate reaction conditions for individual steps. Conduct multistep chemical syntheses from mg to Kg scale. Optimize
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methods (e.g., SEM, XPS, in-situ XRD) to study sensor performance and degradation mechanisms. Contribute to system-level optimization of sensor signal quality and environmental stability. Prepare research
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expect an excellent publication record in areas such as automated planning, machine learning, logic or combinatorial optimization. Furthermore, candidates should have very good programming and
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urgent to address the sustainability of database queries. The GREENSQL project tackles this challenge by combining reproducible measurements with advanced AI models to estimate, validate, and optimize
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developing the technical basis for the first fusion nuclear facility and the position will involve several disciplines, with an intended focus on design, analysis, and optimization of fluid flows in tritium
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
professionalism, enhance learning, and create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our
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: Synthesis and optimization of PLGA-based nanoparticles and enzymatic nanomotors. Drug loading/release studies in cellular models. Development of patient-derived mucus-secreting tumor-on-a-chip model
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• Design, execute, and interpret experiments to investigate molecular mechanisms of circadian nutritional compensation in fungal and mammalian systems. • Develop and optimize experimental protocols in