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position within a Research Infrastructure? No Offer Description The Role Applications are invited for a Research Associate in Machine Learning and Natural Language Processing for Materials Science. The
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The Role Applications are invited for a Research Associate in Machine Learning and Natural Language Processing for Materials Science. The project focuses on building a database and on combining
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programming tools (e.g. OpenMP, MPI) Accelerator programming (e.g. CUDA, OpenCL, SYCL) Serial and parallel debugging and profiling Parallel numerical algorithms and libraries. System software stack
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languages (e.g. C/Fortran) Shared and distributed memory programming tools (e.g. OpenMP, MPI) Accelerator programming (e.g. CUDA, OpenCL, SYCL) Serial and parallel debugging and profiling Parallel numerical
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have the necessary experience and skills to contribute to the research project by applying Drosophila genetics, genome editing, molecular biology, microscopy and bioinformatics to identify and test
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as an integral part of the Editorial Office team, focusing on the processing of JMS submissions from initial submission through to acceptance. They will maintain an up-to-date knowledge of editorial
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, and workshops. We aim to provide a supportive and friendly environment with a strong sense of community. The Department currently has 116 permanent members of staff, following a process of significant
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to grow. You'll have the ability to influence and design systems, processes, and insights that directly influence the University's continued success, while building a culture where data is integral
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ensuring there is cross University stakeholder engagement in the process. The Finance teams work on a Hybrid basis normally 2 days in the office 3 days working from home, based on business need. This role
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to demonstrate these key principles as part of the assessment process. Submitting your application All applicants are asked to submit: A CV A covering letter which details your experience, strengths and potential