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completed in parallel with the experimental work. The student will be provided with fully funded training on electrochemical characterisation technologies at the University of Leeds, the research partner
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exploring and evaluating the potential benefits of a closer strategic alignment between these two entities. Reporting to the GLAM Registrar and COO with a parallel reporting line to the OUDCE Director of
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but able to take direction when necessary High degree of self-motivation Ability to multi-task and integrate the demands of different activities in parallel to maintaining operation of the laboratory
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) to parallelize workflows; Excellent work planning and issue resolution skills; Strong technical, written, and verbal communication skills. Bonus qualifications: Experience with aero low-/mid-/high-fidelity
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solutions, building on your experience of working in a complex environment with a wide range of parallel and mutually dependent activities. You will have experience mapping and designing processes for fast
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Research Associate in Prospective Material Flow Analysis for new sustainable materials and chemicals
production and consumption; Modelling of new chemistry/processes/routes being studied within SCHEMA and how they affect the MFA system in uncertain future scenarios; and Working closely with a parallel SCHEMA
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. Experience of GitOps tooling such as ArgoCD or FluxCD. Knowledge of containerization technologies using Kubernetes & Docker. Experience working with HPC clusters and parallel file systems. Proven ability
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scripting languages, such as Bash, Python and SQL. Experience with any cloud services such as Microsoft Azure, AWS and GCP. Understanding of parallel programming methodologies. Experience in the design and
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generated high-fidelity LES datasets. These datasets, produced under a parallel investigation, will provide detailed flow and temperature information for a geometry representative of a pebble-bed HTGR core
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convergence; Network algorithmics; Edge computing and networking. The Glasgow Systems Section (GLASS) has a strong track record in experimental research in networked, parallel and distributed systems. Research