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Field
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Responsibilities: Conduct research on the design and analysis of scalable machine learning systems using convex/nonconvex optimization and federated learning methods. Develop algorithms and prototypes
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by using explainable AI To develop generative AI techniques to design novel biologics for cancer Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or
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and develop an optimal (efficient, cost effective, easy to use) technological operational method for detecting and estimating wallaby populations and dynamics. What you’ll do: Develop a technological
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) strong background in quantitative methods, statistics, computer science, geospatial data analysis and modeling; (b) experience in AI and geospatial computer version; (c) advanced skills in scientific
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. Perform any other duties relevant to the research programme. Job Requirements: PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive
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practices to employ LLMs for hypothesis testing in the social sciences New methods to promote the interpretability of embedding vectors Unsupervised identification of novel legal ideas and concepts Data
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) The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena
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To create and contribute to the creation of knowledge by undertaking a specified range of activities within the research fields of holography, gauge theory and related areas. Role Summary Work within
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Carolina, US Hiring Range $40.00/per hour Proposed Start Date 08/25/2025 Estimated Duration of Appointment 6 months not to exceed 11 months Position Information Be a Tar Heel! A global higher education
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1st October, 2025 or as soon as possible thereafter. The project The project is about developing machine learning (ML) methods that help to develop the food of the future. The successful candidate is