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. Work on other ATLAS physics topics may also be considered depending on the candidate’s expertise. A PhD in particle physics and substantial experience in data analysis are required. Additional valuable
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, focused ion beam specimen preparation, and computer vision or machine-learning analysis of microscopy datasets. The position requires strong experimental, analytical, written, oral, and interpersonal
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 21 days ago
the computational work. Researchers in the group have experience with crystal plasticity using finite element and fast Fourier transform methods, fatigue indicator parameters, process modeling and machine learning
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. Applicants should have a PhD, or have passed their PhD viva, in plasma science, physics, electrical engineering or a closely related discipline. Essential experience includes previous research on plasma-liquid
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work. About You (Selection Criteria) Essential (Level A&B) A PhD in a relevant discipline (e.g. nursing, pharmacy, epidemiology, health services research) Peer-reviewed publications. Research experience
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PhDs in law and social science. The senior postdoctoral researcher will have a background in disciplines such as law, social science and anthropology, and will engage in a number of tasks. These will
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deep learning including data collection, architecture development, model training, and validation Interest in software development, with particular emphasis on the Python programming language and
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need to have a PhD in marketing, consumer behaviour, psychology, behavioural economics, environmental psychology, or another relevant field. Demonstrated experience designing, fielding and analysing
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. or equivalent doctorate (e.g. Sc.D., M.D., D.V.M.) Preferred Qualifications:. A PhD or MD/PhD (or equivalent) in biological sciences Strong research background in cell biology, molecular biology, mouse models
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and SP Group, and the deep tech materials technology company Nanocore. The project, which is called FUTURPLAST, is supported financially by the Innovation Fund Denmark within the Grand Solutions program