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on the recently published DeepRVAT framework, which leverages advances in machine learning to learn an optimal rare variant aggregation function in a data-driven manner. You will have the opportunity to spend
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innovative employers in the region. With more than 6000 employees from 100 different countries, we are helping to build tomorrow's world every day. Through top scientific research, we push back boundaries and
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Itai Ashlagi and the Stanford Impact Lab on Equitable Access to Education are seeking a diverse pool of applicants who wish to join a team-based, collaborative community and who value the different
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
individual differences in nutrient requirements and responses to diet affect our nutritional needs. Our research contributes to the prevention and mitigation of chronic disease across the lifespan from
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scholars and researchers from around the world are tackling global issues and making a difference to people's lives. We believe that inspiring our people to do outstanding things at Durham enables Durham
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processes for data standardization, data warehousing, quality assurance development and data analysis. A successful candidate will work closely in different aspects of the quality assurance and data
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into two main areas: (1) material development and characterization to ensure optimal sensing and mechanical performance, and (2) structural evaluation of SS-FRCMs under environmental stressors such as freeze
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Systems will participate in the research efforts of developing systems integration, analysis, design, control, and/or optimization models and algorithms for smart energy systems to enable smart and healthy
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to make a difference. If this sounds like you, you've come to the right place! Experience and technical skills: Research background in at least one of the following topics: simultaneous localization and
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), while training the next generation top scientists, innovators and entrepreneurs. Research at MSN is organized in different research clusters including Energy Transition, Surface Technology and Metallurgy