383 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"DFG-TRR" Fellowship positions in United Kingdom
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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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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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physics, gravitational-wave source modelling and data analysis, gravitational self-force modelling and numerical relativity. The group is involved in the LIGO Scientific Collaboration, the LISA Consortium
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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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physics, gravitational-wave source modelling and data analysis, gravitational self-force modelling and numerical relativity. The group is involved in the LIGO Scientific Collaboration, the LISA Consortium
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details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what
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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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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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. Funded by Innovate UK through a Knowledge Transfer Partnership (KTP), the Fellow will lead the development of an end-to-end AET testing framework, encompassing data assembly, software interfacing, test
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. Please provide one or more paragraphs 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