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associate will lead collaborative efforts in advancing research focusing on the intersection of infrastructure, climate, and human health. Examples of current active projects include: Developing optimization
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that match the position's content and responsibilities. The applicant is expected to have expertise in the design and optimization of electrical and mechanical components, including actuator selection and
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project - “Deep learning-based approach for process parameter optimization of SiC wafer under limited data”. He/She will carry out research in the areas of machine learning and data science, and also be
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complementary techniques such animals handling. Analyze data, interpret results, and develop models to optimize nano wipe formulations for enhanced selectivity and biocompatibility. Collaborate with team members
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(e.g., supernatant or plasma). Participates in the development and optimization of multiplexed immunoassay platforms and microfluidic technologies for laboratory-based research Assists with the design
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. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with
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, advanced optimization and control of semiconductor manufacturing processes and systems. Experience in working with advanced AI/ML software packages and super-computing cluster systems, including Hadoop
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participate in the daily activities of the hospitalization area of infectious diseases and in the nosocomial infection section. The candidate will be involved in antibiotic optimization policies and programs
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record of publications in reputable peer-reviewed journals or conferences in maritime transport, logistics management, machine learning, deep learning, and optimization; Proficient in written and spoken
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associations, and the surface properties of the minerals. In general, a mineral cannot be floated even if the processing conditions are optimized if it is locked (encapsulated). To improve flotation recovery