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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
proposals. Minimum Education and Experience Requirements PhD in biomedical field or related field of study. Required Qualifications, Competencies, and Experience The ability to work as part of a team and
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and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective
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grid, concentrating on fortifying grid security, enhancing reliability, bolstering resilience and advancing decarbonization. Our primary focus lies in the comprehensive 'Everything-to-Grid' (X2G
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candidate is expected to have access to a reliable internet connection for duties undertaken remotely. Qualifications Required Qualifications: A PhD degree in Biostatistics, Statistics, Computer Science or a
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employment is contingent upon the availability of funding. Minimum Education and Experience Ph.D in a related field. Preferred Education and Experience Preferred Education and Experience PhD in Psychology
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supporting end-users of applied ML methods including interpretability/explainability (XAI), and reliability. The position provides access to world-class computing resources, such as the BNL Institutional
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collaborative and productive research environment. Regular, reliable, and non-disruptive attendance is an essential job duty, as is the ability to create and maintain collegial, harmonious working relationships
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preliminary work! • You will characterize metalloid transport proteins. • You will be involved in the training of students on the Bachelor and Master level. YOUR QUALIFICATIONS AND SKILLS • You have a PhD or
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- PhD student in quantitative verification interested in co-developing Automata Tutor - main developer of Automata Tutor Positions in the Formal Methods for Software Reliability group of TU Munich led by
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, where laboratory functions should be integrated and automized on small chips. A possible way of establishing a precise reliable microfluidic control is via flows induced via electric fields in anisotropic