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Field
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* Qualified applicants must have a PhD degree in biology, Life Sciences, Chemistry, Biomedical Engineering, or a related field. They should also have at least 5 years of experience conducting laboratory-based
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-renewable-energy-engineering Skills & Experience: A PhD in Computer Science or a related field. Thorough theoretical background in machine learning and deep learning. Demonstrated experience in developing
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development and target discovery challenges. Qualifications: PhD in bioengineering, computational biology, machine learning, systems immunology, or related discipline, obtained within the last 5 years, by
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motivated researcher to join our pioneering team specializing in microwave processing of materials. Applicants must hold (or be near completing) a PhD, EngD, or equivalent in electrical and electronic
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presentations. Contribute to grant applications for competitive funding opportunities. Who we are looking for (Selection Criteria): Essential: PhD (or near completion) in Geophysics or a related field or an
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Applications are invited for prestigious Eric and Wendy Schmidt AI in Science Fellowships, a program of Schmidt Sciences, commencing 1 September 2026. There are up to 8 positions available, with a
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Applications are invited for prestigious Eric and Wendy Schmidt AI in Science Fellowships, a program of Schmidt Sciences, commencing 1 September 2026. There are up to 8 positions available, with a
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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medical physics, computer science, biomedical engineering, electrical engineering, applied mathematics, or a related field; or an MD with significant research experience and deep familiarity with AI
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imaging QUALIFICATIONS Successful applicants will have: a PhD in medical physics, computer science, biomedical engineering, electrical engineering, applied mathematics, or a related field; or an MD with