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proven track record in reservoir modeling, optimization, and high-performance computing. Proficiency in C/C++ and Fortran. Good verbal and written communication skills. Preferred Qualifications Experience
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advanced numerical simulation and/or optimization tools to the design and characterization of the facility; interact with other technical groups working on the Diamond-II design (e.g. Engineering
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. Based on these insights, you will formulate design rules to predict optimal loading conditions and release mechanisms, supporting experimental optimization. We expect you to be able to work with a high
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crops of significance to national and global economies with the goals of improving crop yields with reduced inputs, reducing the impact of crop diseases, and preserving and optimizing the use of crop
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
oncology by pursuing two main directions: (1) leveraging clinical and multi-omics data to generate hypotheses, uncover novel cancer vulnerabilities, and optimize therapeutic strategies, and (2) developing AI
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include : Leading the physics design of a next-generation proton linac, optimizing acceleration efficiency and transverse focusing Designing new SRF accelerating cavity types across multiple operating
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processes. Developing and optimizing functional membranes, including electrically conductive membranes, for use in desalination, energy generation, and electrochemical separations. Responsibilities: Conduct
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initiatives include developing advanced aqueous emulsion and suspension systems for spray coating, predictive modeling of packaging performance, and optimizing packaging designs for high-value product
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validation and Pileup modeling), the MET High-Level Trigger validation, optimization and performance studies, and to the heterogeneous computing where the focus will be to work on to the current efforts
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) with DFT atomistic simulations to investigate the electronic structure and defect states in wide bandgap semiconductor nanomaterials. The goal is to better understand and optimize function