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the colleagues to develop and implement an ambitious quantitative research programme To develop new models for understanding key determinants of community connectedness To engage in data science debates, notable
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synthesis and evidence reviews Coordinating meetings to discuss the development of the programme of evidence reviews Providing briefings from evidence reviews and to draft full evidence review reports
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under the supervision of project and line managers. The role will include: Working with the colleagues to develop and implement an ambitious quantitative research programme To develop new models
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We are seeking a dynamic and experienced Senior Research Fellow to drive the development and design of a healthy behaviours programme for children and young people (C&YP) who have completed cancer
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We are seeking a talented and ambitious Research Fellow to contribute their skills to help design and develop a specification for a healthy behaviours programme for children and young people (C&YP
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experiments would also be preferred. Proficiency in programming for experiments using z-tree and (or) o-Tree/Python would be necessary. Some knowledge of web development languages (HTML, CSS, Javascript) would
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academic taskforce, the successful applicant will work to advance four objectives: Evaluate and compare different models for accessing and analysing social platforms data, including data donation, web
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with other bioinformatics to help test and develop web-based bioinformatics tools. Develop online and in-person training materials, including workshops to educate community members on how to use
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and fourth years of the degree programmes, from spectral theory, groups and geometry to fluid mechanics and from mathematical ideas in biology to cosmology. Research funding in the department from EPSRC
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 8 hours ago
at a range of decision-making scales: Develop a geospatial tool using ESRI ArcGIS with a publicly facing web application that integrates data sets of key climate variables and hazards available via