11 data-"https:"-"https:"-"https:"-"https:"-"https:" research jobs at University of Newcastle in United Kingdom
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for using data science to address real-world challenges in animal welfare and agricultural sustainability? We are seeking a Research Assistant or Associate in Data Science to join an interdisciplinary
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data to inform and validate modelling work within a NERC-funded interdisciplinary project. The NERC-funded project develops a new development-centric framework for understanding adaptation under
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consortium of academic and industry partners across the Europe and US (including multinational pharmaceutical companies such as Pfizer, Eli Lilly, and GSK) to ensure the delivery of data and digital solutions
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interest in the role. For more information or informal enquiries, please contact Dr Shahab Dehghan, shahab.dehghan@newcastle.ac.uk and/or Prof Vladimir Terzija, vladimir.terzija@newcastle.ac.uk . We follow
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closely with project partners (Philippines, Vietnam and University of West London, UK) to analyse results, gather relevant data for modelling, and ensure accurate data collection Analyse data, interpret
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simulation data and draw conclusions on the outcomes. Co-ordinate own work with that of others, use problem solving to affect the achievement of research objectives and contribute to the planning
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You will be responsible for the day-to-day coordination of project activities, working closely with University academics and farm staff to ensure high quality data collection and adherence to agreed
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conduct of in-home, telephone, and online qualitative interviews. The role will also involve making a substantial contribution to qualitative data management and analysis. You will be part of a vibrant and
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analyse walking interviews with participants Living with severe mental illness following/modifying the existing field guide. Lead qualitative data management, analysis, and synthesis across 3 field sites
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familiar with spatial analyses, species distribution modelling (SDM), and programming in the R or Python languages to apply these to: Collate and analyse spatial data on MPA boundaries, their protection