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You will be working in a larger research and development project in parallel, distributed and heterogeneous computing. The project work can, under certain circumstances, be combined with an internal
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, continuous integration). Adapt software for parallel computing, optimization workflows, and high-performance computing environments. Contribute to software deployment, testing, and benchmarking across multiple
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with community gatekeepers, stakeholders and groups Experience of project management – working in parallel on projects of different scale and complexity, prioritising and meeting deadlines within budget
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with community gatekeepers, stakeholders and groups Experience of project management – working in parallel on projects of different scale and complexity, prioritising and meeting deadlines within budget
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to effectively parallelize code, in addition to proficiency in Python and general software engineering skills. Improve software quality for non-functional requirements, such as readability and performance
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to learn) macroeconomics, a good foundation in (optimization) algorithms, and the ability to effectively parallelize code, in addition to proficiency in Python and general software engineering skills
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arrays. Additionally, a high-performance computer cluster is available at Bristol can be used to run large and parallel models. You will have full access to these facilities. You should have a relevant
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generally to develop new distributed edge services. The successful candidate is expected to evaluate metrics such as latency, throughput, availability, and resilience in different applications scenarios
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how deficits in cellular mechanisms can lead to memory disorders. Our lab uses a multidisciplinary approach to answer some of these outstanding questions in different neuronal preparations. Among
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than 30 people, including parallel post-doctoral researchers in four other countries, and led by Prof Ben Baumberg Geiger at King’s. Secondly, it’s located within the Centre for Society and Mental Health