411 data-"https:"-"https:"-"https:"-"https:"-"https:"-"University-of-Minho" Fellowship positions in United Kingdom
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Field
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analyse large scale job application data from employers using quantitative methods. Findings from the analysis will be written up in a project report, separate reports to employers, and in academic journal
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healthcare interventions. You will design and deliver cost-effectiveness and budget impact analyses, analyse healthcare cost and outcomes data, and develop decision-analytic models. Working closely with
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analysing and interpreting modelling outputs and experimental data, supporting the generation of new funding opportunities, and contributing to licensing or spin‑out activities that demonstrate commercial
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and office working each week What next Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your details. Please contact (Dr Peter
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of multidimensional datasets using modern computational tools • Contribute to scientific reports and journal articles and the presentation of data/papers at conferences • Responsible for general
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team Collect, analyse and interpret data related to the research project Apply knowledge in a way which develops new intellectual understanding Take a prominent role in delivering the research goals
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mentor if required Contribute to writing bids for research funding Analyse and interpret data Apply knowledge in a way which develops new intellectual understanding Disseminate research findings
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, focus groups, observation and documentary analysis, and will lead on the analysis and synthesis of qualitative data using systems evaluation frameworks. The role requires an excellent understanding
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transfer, thermo-fluid systems simulation and programming, as well as exposure to software platforms and algorithms for Artificial Intelligence, Machine Learning and Data Analytics. You will have experience
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of what data to analyse first, and whether to gather additional intelligence, potentially at the cost of delay or increased risk. Addressing this challenge is becoming increasingly urgent as both the scale