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Schlumberger Foundation Faculty for the Future Fellowships 2026-2027 is open now. These are the requirements to apply for a fully-funded PhD or Post-Doctoral Fellowships in STEM (Engineering, Physical Sciences, Computer Science & Maths): These are fellowships for women scientist and...
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Research group at the University of Birmingham (UK) invites applications for a 3-year postdoc position in theoretical high-energy astrophysics. This position will focus on the modelling of tidal disruption
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are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the Concordat to Support the Career Development of Researchers , applies to Postdocs, Research Assistants
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About us This role offers a springboard to a career in both industry and academia to postgraduates and postdocs interested in combining advanced technical work with significant stakeholder
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context. The work will include, but is not limited to: investigating new mathematical formulations of the underlying physics; developing fast algorithms and numerical methods that leverage modern parallel
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: The Astrophysics and Space Research group at the University of Birmingham (UK) invites applications for a 3-year postdoc position in theoretical high-energy astrophysics. This position will focus on the modelling
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We are looking for a managerial role in our group. Our group carries out activities related to quantum physics and quantum technology. There are 25 researchers in our group, including PostDocs and PhDs
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-edge research in machine learning and automated reasoning for safe algorithmic systems. The Research Fellow will be responsible for developing advanced theory and machine learning algorithms
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PhD Studentship: The Role of O-glycosylation of the Stalk Region of the Immunoglobulin Receptor GPVI
to determine their effects on GPVI signalling. In addition, super resolution microscopy will be used to determine how glycosylation effects the distribution of GPVI on the cell membrane. Finally, nanobodies will
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algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It investigates how the unique capabilities of quantum computing