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binding pockets. About the role We are seeking a highly motivated researcher to develop artificial intelligence based novel algorithms and computational workflows to identify domain functional families
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Skip to content HARVARD.EDU About Mission / Vision People Annual Reports Contact Us Programs AWS Impact Computing Bias² Causal Inference CrisisReady Fellowships & Funds SPUDS Trust in Science See
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this role, you will contribute to the development of intelligent design workflows using CFD and data-driven methods to assess and optimise next-generation vessel designs. You will collaborate closely with
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area of ICT can be considered, but priority is given to candidates who support one (or more) of the HIIT strategic focus areas : Artificial Intelligence Computational Health Cybersecurity Data Science
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statistics, physics, computer science, artificial intelligence, or a related quantitative field Experience with mathematical/statistical modeling and/or machine learning/Al methods Strong interest in
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sustainable transportation vehicles (MegaCast)’. Please see the very recent EPSRC announcement: https://www.ukri.org/news/new-research-hubs-to-cut-carbon-and-reshape-uk-manufacturing/?utm_medium=email
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-term appointment through to 30 June 2027 This position will be directly involved in the delivery of the research projects funded by the NCYSUR through the Australian Government, Drug and Alcohol Program
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, our strength in methodological rigour, artificial intelligence, and our contributions to methodological developments are also part of our research strategy. Duties of the Role We wish to appoint a
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, ENGINEERING AND THE BUILT ENVIRONMENT In the Faculty of Computing, Engineering and the Built Environment (CEBE), we work to apply abstract intelligence to make a better, safer, smarter society. We have a strong
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Are you a researcher looking for your first challenge? Are you passionate about making computers faster and more reliable? Do you have experience in machine learning applications for software