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Duration: 8 months or until 31 May 2026, whichever is sooner About the Role This is a research position for an EPSRC funded project entitled “Distributed Acoustic Sensor System for Modelling Active
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. the genetic `capabilities’) is distributed and maintained across community members, and how these distributions of functions shape ecosystem-level properties. Answering these questions in a host-associated
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distributed control strategies, including grid-forming converters connected to storage and renewable systems. Integrating IoT devices, edge controllers and middleware layers with cloud computing platforms
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, regardless of process parameters, it is essential to conduct a physical, chemical, and mineralogical analysis of the tailings to study the distribution of phosphates and their relationships with gangue
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results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
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and planet formation context Experience in the field with HPC system usage and parallel/distributed computing Knowledge in GPU-based programming would be considered an asset Proven record in publication
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Contract: 2 years (24 months – full-time) We are looking for an excellent post-doctoral candidate with a PhD / DPhil (or near completion) in quantum optics, solid state quantum physics, magnetic
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hands-on experience in video diffusion models and generative AI. The role will focus on core research and development of advanced of multimodal video generation systems. The appointee will work closely
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the natural sciences. The position offers access to top-tier academic and industry research ecosystems and is ideally suited for researchers seeking to push the boundaries of geometric and graph-based learning
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Applicable Driver's License: A driver's license is not required for this position. More About This Job Required Qualifications: The applicant should have a PhD in biological/biomedical sciences, or an MD with