206 linked-data-"https:" "https:" "https:" "Stanford University" positions at Cardiff University
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. The Research Assistant will support the integration of cooling demand data with numerical models of ground-source heat pump-based energy systems. The successful candidate will conduct work leading to
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candidate will further possess a proven ability in effective and persuasive communication to a variety of academic and non-academic audiences. For further information about the Department and its work, please
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attractive benefits to its employees, including 37 days of annual leave per annum and a proactive work-life balance policy. More information on what we can offer can be found here: https://www.cardiff.ac.uk
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the Division of Infection and Immunity within the School of Medicine, Cardiff University, based at Heath Park Campus. This School of Medicine post will be within the Gallimore Godkin lab (https
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raising, provide information, advice and guidance and assist progression to higher education and level 4 learning for targeted priority groups. Through a range of activities, the Reaching Wider Team and
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individual to support archaeological science projects. Working closely with academic and laboratory staff, the successful candidate will carry out sample preparation, analysis, data manipulation and report
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admissions criteria. Key Duties Responsibility for ensuring the accurate processing of applications to the University including data entry and record keeping using the University’s student record system. Where
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communication of requirements to staff and students. Take responsibility for resolving issues independently in relation to academic quality and standards issues where they fall within set role objectives linked
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will be based at the Heath park campus. About the Project The successful applicant will lead experimental work and data analysis within a three year research programme focused on: • Characterising
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, whilst leading a broad range of investigative and analytical activities to maximally exploit clinical and genetic data of Amyotrophic lateral sclerosis (ALS), and linking them to genetic risk scores with