200 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" Fellowship positions in United Kingdom
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- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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- QUEENS UNIVERSITY BELFAST
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- York St John University
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mapping tools such as Google Earth Engine or Microsoft Planetary Computer, and it is likely that developments such as satellite data embeddings and GeoAI will offer potential for increasing the accuracy and
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the group can test and validate models of sodium-ion battery behaviour. As such, proficiency in computer programming (particularly python) is required as well as knowledge of numerical methods
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experience in the use and/or development of machine learned interatomic potentials would be seen as a significant asset. Previous experience of inelastic neutron scattering spectroscopy (or similar) would be
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and spectral index time series extracted you will work with solar physicist Mykola Gordovskyy (also at CAR) on initial physical modelling to better understand these extreme flares and to compare them
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The job information is shown below. Please click on the links to see full details. The Centre for Appearance Research (CAR) is looking to appoint a part time Research Fellow (0.6fte) to join a
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The Centre for Appearance Research (CAR) is looking to appoint a part time Research Fellow to join a team of researchers on a fixed term project, funded by The Scar Free Foundation ; evaluating a
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Digital Twin Framework for Smart and Sustainable Advanced Manufacturing Research area 3: Advanced Multifunctional Materials The ideal candidates would have a background in machine learning, manufacturing
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such as geotechnical engineering, archaeology, geophysics, sensing and machine learning, with group members from seven different countries, speaking over ten different languages. Perks of this role include
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As a University of Applied Learning, the Singapore Institute of Technology (SIT) works closely with industry in its research pursuits. This position is situated within the Centre for Immersification
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About the job: The Transforming Cultures of Language-Learning (TransCoLL) project, funded by Arts and Humanities Research Council, aims to intervene in the steep decline in Anglophone language