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-performance or cloud computing environments. Need strong data management and database skills, expertise in clinical phenotyping ontologies and the application of machine-learning/AI methods to biomedical data
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-performance or cloud computing environments. Need strong data management and database skills, expertise in clinical phenotyping ontologies and the application of machine-learning/AI methods to biomedical data
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duties of the post include: Conduct in-depth simulations and analysis to model and understand the performance of the Diamond-II accelerators for both single and multi-particle effects; develop and apply
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programming skills, excellent communication and organisational abilities, and experience working both independently and collaboratively, with additional merits including high-performance computing experience
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of scientific results and be well versed in data handling and linux/unix based high performance computing environments (HPC computing). The candidate must have good oral and written command of English. What we
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) circuits for high-performance quantum memory applications. Key objectives include: manipulation and optimization of electronic and spin coherence through complex optical and MW sequences, implementation
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Revolution with Ultra-Low Energy 2D Materials and Devices (NEED2D)." The project focuses on cutting-edge research into the growth, characterisation, and application of high-performance two-dimensional (2D
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genomic and clinical datasets, and in developing reproducible, scalable analytical workflows (using scripting languages such as R/Python) within high-performance or cloud computing environments. You will
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genomic and clinical datasets, and in developing reproducible, scalable analytical workflows (using scripting languages such as R/Python) within high-performance or cloud computing environments. You will
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Innes Centre Department of Crop Genetics, including molecular biology laboratories, glasshouses and high-performance computing facilities. The post holder will be a strong team player, able to work