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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
We welcome applications from candidates with a broad range of academic backgrounds and experiences for a 4-year PhD project on Mathematical and Machine Learning Aspects in Crystallography at Durham
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engineering disciplines, including structural mechanics, hydrodynamics and machine learning Strong programming skills in Python and/or MATLAB Experience with scientific computing, CFD/FEM software, potential
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paradigms that support collaborative processes rather than isolated individual use. Combining perspectives from the learning sciences, Computer-Supported Collaborative Learning (CSCL), Computer-Supported
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PhD Scholarship Opportunity - Processing intelligence for green metals using in situ X-ray characterisation and machine learning Job No.: 693787 Location: Clayton campus Employment Type: Full-time
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POSTDOCTORAL SCHOLAR Requisition # 4647 Position Basics Advertising Ends on:Wednesday, July 29th, 2026 Advertising Started on:Wednesday, July 15th, 2026 College:Carver College of Medicine
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. Our community is open and informal, with more than 7,000 students, 1,000 PhD students, and 1,400 staff members from all over the world. If you would like to learn more about the Faculty of Science and
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AI and data science, particularly in dynamic settings where observations are collected sequentially and decisions influence future outcomes. This project will develop novel machine learning and
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/ ) and the Center for Health Effects of Environmental Contamination (CHEEC) (https://cheec.uiowa.edu/ ) at the University of Iowa (https://uiowa.edu/ ) seeks multiple highly motivated postdoctoral research
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Hours of work: Full-time Tenure: Fixed term for 1 year We are seeking to appoint five outstanding postdoctoral research associates with expertise in the synthesis
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PhD Studentship: Designing Human-AI Teams for Meaningful Human Control of 'Machine-Speed' Operations
January 2027. This PhD explores the design of human-AI teams when the AI agents operate at ‘machine-speed’ (i.e., significantly faster than human cognitive and communication capabilities). The research will