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. Among the methods used are high-throughput CRISPR screening, protein deep mutational scanning, massively parallel reporter assays, and genetic manipulation of cell lines and mice. The successful candidate
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applications. You will be hosted in the Sustainable Electronic Technologies group in the Electronics and computer science through which the Novel and Compound facilities are managed. The expertise of the team
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in a dynamic and collaborative team. In collaboration with the Edinburgh Parallel Computing Centre (EPCC) and our industry partners, the focus of the role is the development of a new solver for
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: Proficiency in Python, PyTorch, JAX, or other ML frameworks - Computing: Experience with large-scale datasets, parallel computing, and GPUs/TPUs. - Algorithm Development: Ability to develop and optimize Machine
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, e.g. Python, Matlab, C; Experience utilizing high-performance computing (HPC) to parallelize workflows; Excellent work planning and issue resolution skills; Strong technical, written, and verbal
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Research Centre (EPRC). EPRC research covers a range of topics including energy demand, electricity markets, and energy efficiency. In 2017, the ESRI initiated a new, parallel research programme on Climate
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Units (GPUs) have become pervasive computing devices. They are massively parallel machines that provide a cost-effective solution for high-performance computing applications. Their application in discrete
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sampling of the parameter space of eclipsing binary observables, most notably photometric data from NASA’s Kepler and TESS missions. In parallel, the applicant will be given an opportunity to teach
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will join Andrej Prsa’s research team and work on the PHOEBE code , advancing our understanding of the processes in contact binary stars. In parallel, the applicant will be given an opportunity to teach
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field or method, including, but not limited to, numerical methods, machine learning, or parallel and distributed computing. Expertise in a parallelization method (e.g., CUDA or ROCm, MPI, OpenMP