376 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"CEA-Saclay" Fellowship positions in United Kingdom
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Field
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/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be
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2026 Background We are seeking a highly motivated researcher in statistics, geostatistics, data science, or a related field to join our research team in the Department of Applied Health Sciences
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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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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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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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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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of researchers, technicians and project specialists working on producing data on population distributions and characteristics at high spatial resolution. We are seeking to recruit a Research Fellow/Senior Research
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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