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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 15 hours ago
Optics (NGXO) technology program at Goddard Space Flight Center. The participant will have opportunities to contribute to several complementary research areas. These may include designing and participating
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background in a field related to neurophysiology—specifically biological sciences, medical biology, medical sciences, health sciences, physical culture sciences, biomedical engineering, or psychology; doctoral
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development About You You will hold a Ph.D/D.Phil in a quantitative or theoretical discipline (e.g. machine learning, computer science, mathematics, statistics, physics, theoretical neuroscience or a closely
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operations. The position requires a high level of independent research skill and technical expertise in physical oceanography, numerical modeling, and scientific computing. The postdoctoral researcher will
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well as historians of physics who are interested in engaging seriously with the content of the science they study. You will be an active member of RCNP. You will collaborate with the other postdoctoral researchers
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Position Title: Postdoctoral Research Associate in Crop Genetic Resources and Informatics Appointment Type: Post Doc/Trainee Job Description: Summary of Duties and Responsibilities: We are seeking
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to work on Higgs data analysis within our ATLAS Muon Group. Our long-standing analysis program focuses on exploring the properties of the Higgs boson and searching for physics phenomena beyond the Standard
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of Computer Science buildings in central Oxford, however remote (within the UK) and flexible working can be considered. Diversity Committed to equality and valuing diversity. Application Process You will be required
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5 Sep 2026 Job Information Organisation/Company Università degli Studi di Cagliari Research Field Economics » Business economics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4
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the opportunity to shape emerging research directions at the intersection of materials science, device physics, and data-driven experimentation.