10,967 machine-learning "https:" "https:" "https:" "https:" "https:" "Bournemouth University" research jobs
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. For more information please visit: https://www.gov.uk/skilled-worker-visa. As a valued member of our team, you can expect: 1 A warm welcoming and engaging organisational culture, where your talents
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, multi-modal data, and GPU-accelerated machine learning for materials science. Information We are seeking two highly motivated postdoctoral researchers to join the Horizon Europe project SIMU-LINGUA, a
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are looking for a Research Fellow (RF) to work on smart solid carbon
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, implementation, and analysis of machine learning models for computer vision tasks (40%). Analysis of natural scene statistics in aquatic and terrestrial environments (40%). Design of models to learn texture
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or protective hairstyle, religion, sex, age, national origin, physical or mental disability, sexual orientation, gender identity, genetic information, military service, pregnancy or pregnancy-related condition
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Assistants Click here for more information about equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience No experience required. Required License/Registration
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Assistants Click here for more information about equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience No experience required. Required License/Registration
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have a PhD, or equivalent advanced or terminal degree from a recognized institution of higher learning, in materials science and engineering, chemical engineering, or related field, with no more than 5
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Posting Summary Logo Posting Number RTF00066PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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(12) Months, Fixed Term. Part-time post. ParentChild+ is a home-based early learning and parenting programme supporting families facing socioeconomic disadvantage and strengthening children’s