410 data-"https:"-"https:"-"https:"-"https:"-"U.S" Fellowship positions in United Kingdom
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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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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 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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data-driven (AI/ML) approaches to analyse polymer physicochemical properties and degradation behaviour across different environments, with the aim of identifying key molecular-level design principles
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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
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at LSHTM. The post-holder must have a postgraduate degree in a relevant topic (ideally Medical Statistics or equivalent) and relevant experience in using regression models for data analysis and statistical
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London School of Hygiene & Tropical Medicine; | London, England | United Kingdom | about 2 months ago
addressing each criterion. The supporting statement is an essential part of the selection process and thus a failure to provide this information will mean that the application will not be considered. An answer