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, or engineering problems. Familiarity with multi-omic data integration, predictive modeling, systems biology, biomedical data science, or related analytical methodologies is highly desirable. Experience with
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-driven and machine-learning models. The role will also involve conducting materials synthesis and electrochemical studies, troubleshooting and improving automated workflows, analyzing research data, and
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sustainable food security, and contribute to graduate teaching, mentoring, and the training of the next generation of scientists and engineers. About KAUST KAUST is a mission-driven graduate research university
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individuals, including approximately 7,700 academic staff members, who passionately pursue answers to the profound questions that shape our future. They represent individuals driven by curiosity and a
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sustainable food security, and contribute to graduate teaching, mentoring, and the training of the next generation of scientists and engineers. About KAUST KAUST is a mission-driven graduate research university
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discipline. Candidates who have a masters degree in Geotechnical Engineering or Engineering Geology are encouraged to apply. Applicants should also have some experience of numerical modelling (preferably with
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‑driven differential rotation constraints in the global dynamo models (e.g., via relaxation terms in the Navier–Stokes equation), calibrating against solar/stellar observations. Design, run, and analyse
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modelling, simulation-driven design, or technology development are encouraged to apply, provided they are motivated to further develop competences in electronics cooling and interdisciplinary research. It is
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 23 hours ago
, security, confidentiality, and HIPAA compliance. This is an exciting opportunity for a data-driven professional who is passionate about advancing clinical research through technology and collaboration
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The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE