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Network to evaluate the long-term effectiveness and implementation of Creating Active Schools in Bradford. You will co-coordinate large-scale quantitative data collection, lead a field team, engage schools
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with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains from
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these representations to guide the identification, by debate, of (non-)compliance to PRLs of LLMs and T2Is; O3) in the case of non-compliance, using information conveyed in the debates to enforce PRLs on LLMs and T2Is
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solver, able to lead on queries and can convey complex financial information in a clear format. • Communication is key for you, and you can use this skill to motivate others, and build excellent working
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& Rheumatology (EMR), ensuring the highest quality of data and adherence to Standard Operating Procedures (SOP) and Good Clinical Practice (GCP).The successful candidate will work with the clinical trial team
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learners to build their portfolio, and work towards a successful End Point Assessment. Experience of working within one of our priority sectors (Data & Digital, Engineering, and Biomedical & Health) would be
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machine learning with spectral data to enable rapid, non-destructive detection of food adulteration and fraud. Machine learning combined with spectral data can play a vital role in combating food fraud by
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, analysing and reporting of energy data to identify, investigate and quantify opportunities for energy and carbon savings. The post holder will develop and deliver presentations, briefings and reports
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and interpret research findings and results from existing data Collect pilot data and demonstrate proof of concept for new methods Main Duties The responsibilities may include some but not all
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technologies enable our students, staff, researchers, visitors, and partners to confidently and creatively use digital services, technology and data for the benefit of their learning, teaching, research or work