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(OxCSML) research group, with responsibility for managing the computational infrastructure, enabling large scale research implementation and experimentation for the project team, and collaborating
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the day) to accommodate your needs. Working remotely is possible for up to 1 day/week. About the Role The post is funded for 3 years and is based in the Big Data Institute, Old Road Campus, Oxford
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contribute primarily to developing and analysing Cortically-Embedded Recurrent Neural Networks (CERNNs) that simulate large-scale neural dynamics during cognitive tasks. These models integrate species-specific
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) in Physics or a related field. Previous experience in cosmological simulations, analysis of cosmic microwave background and/or large-scale structure datasets, machine learning methods applied
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the assessment of mental health, cognition and brain injury, with applications to athletes and sports-related injuries. This includes contributing to one or more projects that include: 1) leveraging large scale
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genome encodes gene expression levels. You will undertake large scale data generation from primary human samples using a method recently pioneered by the host laboratory (Hua et al., Nature 2021 https
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), within the Solid Mechanics and Materials Engineering Group. The post is funded by the SCGC Fund for Innovation and Research in Sustainability and Technology (SCGC-FIRST) and is fixed-term for 12 months
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Institute of Particle Astrophysics and Cosmology (BIPAC), on research aimed at extracting cosmological information from large-scale structure (LSS) and Cosmic Microwave Background (CMB) probes on very large
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the appointment. Ideal candidates should have a broad experience with functional groups, diverse synthetic routes, and work in both small- and large-scale experiments. Use of NMR (1 and 2D, nOe, etc.), and LC/GC-MS
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characterization and benchmarking techniques for quantum algorithms on devices at or beyond the 16-transmon scale. They will also contribute to designing large-scale control and readout multiplexing based on cQED