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Research Fellow (Fusion Shielding Materials) - School of Metallurgy and Materials - 105638 - Grade 7
including Forschungszentrum Jülich in Germany, French National Centre for Scientific Research (CNRS)-Orsay in France, Oak Ridge National Lab & the University of Tennessee in the US and with industrial
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candidate will work on an interdisciplinary Human Frontier Science Programme grant to unravel the functional ecology of heterotrophic protists, combining behavioural assays, ultrastructural and morphological
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the College and the University, often under supervision of a project leader Collect research data; this may be through a variety of research methods, such as scientific experimentation and literature reviews
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Jesus College, Cambridge invites applications each year for a stipendiary Research Fellowship in a Science subject. The Fellowships will normally be tenable for three years from 1 October 2026
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structured development programme and provision of both formal and ‘on-the-job’ training. The posts are also open to those who are returning to academia after a career in another sector. Successful applicants
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post-doctoral scientist will contribute to a research program investigating novel therapeutics and biomarkers for heart failure currently supported by the British Heart Foundation, Northern Ireland Chest
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Icing Science and Engineering. About the Role With the centre the icing team undertakes a wide range of activities including research in ice adhesion, ice properties, instrumentation, as well as ice
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*) in Bioinformatics, Data-Science or a closely related area such as computer Science, or mathematics * If PhD pending, it must be conferred less than 3 months after closing date. Significant, relevant
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opportunity for an enthusiastic and motivated postdoctoral fellow in data-sciences and biomedical informatics to work on exciting human and veterinary health studies, such as the identification of novel
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: Autonomous Systems and robotic platforms Agricultural Robotics and precision agriculture technologies Artificial Intelligence and Machine Learning applications Computer Vision and sensor integration