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Funding information: The studentship is for 3.5 years and provides a tax-free stipend of £20,780 per annum for the duration of the studentship plus university tuition fees. Due to funding restrictions
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the real-time simulation platform. Training the development digital-twin using real-time data from hardware available Electrical power level studies with developed digital twin to identify visible solutions
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language, you'll need an IELTS score of 6.5 or equivalent with no individual element below 5.5. How to apply: Applicants must register on SGSSS Apply, completing their Equal Opportunities data. Applicants
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will be filled once a suitable candidate is identified. Further information Informal enquiries are welcomed and should be directed to Dr Sebastian Neira Castillo – s.neira@ed.ac.uk . Formal applications
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, efficiency, and the optimisation of material, energy, and waste flows. The main tasks include: 1. Developing Digital Twins: Using data from other work packages, we will create digital twins (DTs) for waste
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. English language requirements: Applicants must meet the minimum English language requirements. Further details are available on the International website . Funding information: The studentship is for 3-years and
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letter (maximum 2 pages) and your CV (maximum 2 pages). Please make sure that your cover letter and CV provide adequate information on your academic ability, research potential, communication and
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features enhance binding to the receptors. This information will be carried forward to human tasting panels. You will also investigate how other components of food matrices inhibit binding. You will thus
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such as landslide movement style, runout, and how landslide hazards evolve over time. This Ph.D. project will leverage the analysis of new time-series data from cloud-based satellite image archives
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nutrition and exercise trials Excellent oral and written communication skills Ability to critically appraise scientific methodology and data Ability to work well individually and as a member of a larger