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environmental impacts of digital activities. You will lead projects modelling the energy usage of different computing equipment (personal computers, servers, High-Performance Computing infrastructure
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change Work with a global team of experts Access to a state-of-the-art, high performance computing cluster The opportunity to continue your career at a world-leading institution and be part of our mission
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engineering, and hyperparameter tuning to produce resilient and high-performing models. · PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field Strong track record
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include high entropy carbides, nitrides, borides, oxides, and mixed components for a variety of applications. • Assist in performing a variety of testing and analytical materials characterization using
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opportunity to advance our understanding of, and ability to mitigate, climate change Work with a global team of experts Access to a state-of-the-art, high performance computing cluster The opportunity
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to produce resilient and high-performing models. · PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field Strong track record of applying ML in academic or industry
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Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta
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ASTRONOMY (BL-AST-IUBLA) Astronomy has a long history at Indiana University, beginning in 1856 with Daniel Kirkwood. The department was founded in 1895. Our doctoral program has produced over 100
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Tandem Industry-Academy funded project https://www.vaikuttavuussaatio.fi/en/funded-projects/tandem-industry-academia-tia-seed-2024/ . developing next-generation optical computing technologies for ultra
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here: https://hr.oregonstate.edu/student-employment-manual/500-employment-eligibility-requirements Must be academically enrolled in a high school, community college, or university and pursuing a program