618 data "https:" "https:" "https:" "https:" "U.S" Fellowship positions in United Kingdom
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Github • Using a range of computer systems to run fluid flow simulations and optimisation algorithms, including High Performance Computing architectures • Assist and mentor students and research group
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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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delivering the research goals of the group Conduct a research program, defined in agreement with the group Contribute to writing bids for research funding (including facility access) Analyse and interpret data
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. You will maintain confidentiality regarding research data when interacting with non-collaborating researchers. It is essential that you hold a BSc degree, and are UK GMC registered Medical Practitioner
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and responsibilities Conduct a comprehensive review and synthesis of existing air quality, health and economic data, applying quantitative and computational techniques where appropriate to ensure robust
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projects based around inflammatory and immune mechanisms in the ocular microenvironment. To assist medical research by carrying out sample processing, laboratory analyses and data collection, thereby
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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 to any
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role in collecting and analysing data and writing project outputs Help to organise and participate in project meetings and dissemination activities Person specification The successful applicant must have
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research in the UK. Have demonstrable ability to manage research projects, oversee resources, collaborations, data, budgets and deadlines. Have a proven track record of developing, planning and delivering
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original data (for example, by conducting surveys, interviews, or generating new data from existing sources) and have training in qualitative and quantitative methods for political science. Experience