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Field
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leading overseas university in a research area that is aligned with SIT’s supported areas A keen interest in an academic career Value of Fellowship The Fellowship provides Monthly stipend Overseas
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the ability to work flexibly and autonomously and contribute to / manage multiple projects at various stages of development and organisation. You will also demonstrate an ability to follow departmental guidance
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Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above. We reserve the right to close
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teams and yourself to ensure future developments align with trial progress and delivery processes. Additionally, with the academic nature of the post, the candidate is expected to participate in ongoing
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management system for the e-vessel microgrid for coordinated control of multiple energy sources considering cost, carbon, and operation constraints. Operate the simulated electrical model on a real-time system
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role will be to ensure all data and workflows are reproducible and shareable, aligning with our 'data lake to discovery' approach under FAIR principles. This role also includes a focus on enterprise and
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to the development of biomarkers and predictive models. A critical part of your role will be to ensure all data and workflows are reproducible and shareable, aligning with our 'data lake to discovery' approach under
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community. You will demonstrate evidence of continuing professional development alongside excellent organisational skills with the ability to work flexibly and autonomously and contribute to / manage multiple
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. Coordinate modelling activities across multiple projects and deliver high-quality outputs on time. Integrate new methodologies, including AI and machine-learning approaches, into simulation design. Conduct
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program grant, REFUEL-MS, which is developing and evaluating a tailored digital treatment to help individuals with multiple sclerosis effectively manage their fatigue. You will be involved in analysing data