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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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relevant Cluster Lead a 1-page expression of interest indicating the type of long-term fellowship they would like to apply to; how their research programme would enhance the activities in the School
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registry data and large linked datasets engage with clinical and consumer stakeholders, project managers and web developers on the translation of the findings from this research program into practice and
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one or more of the following areas: business information systems, business analytics, database management, systems analysis and design, computer programming, web/mobile application development
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the learning of new knowledge and development of competences with problem solving, project-based work, or creative tasks in authentic contexts. Collaborative learning can take many forms; from short-term
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skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene dine på nettsiden, slik at vi
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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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Program as stipulated in the UC Davis Health Policies or Collective Bargaining Agreement Access to free professional development courses and learning opportunities for personal and professional growth
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, driving cutting-edge research at the intersection of metabolomics, human health, and toxicology. This exciting role offers the opportunity to contribute to major EU-funded research programmes, including
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 25 days 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