655 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "FEUP" Fellowship positions in United Kingdom
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, environmental history and contemporary heritage policy. In this role, you will collect and analyse archaeological and environmental data from the Middle East, developing critical insights into premodern landscape
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enabler for surgical treatments. The role will primarily involve construction and evaluation of hardware, data collection, data analysis and writing scientific papers/reports. In addition, there will be
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to experimental design, data analysis, and the preparation of research publications, while working collaboratively with researchers across materials science, nanotechnology, and bioengineering. The successful
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recommend that you assess your eligibility before applying for this position. For more information visit the Government Skilled Worker visa support page. However, applications are welcome from candidates who
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biology, mathematical and computational finance, numerical analysis, machine learning and data science or the Oxford Centre for Industrial and Applied Mathematics (OCIAM). The successful candidates will be
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to prove their eligibility to work in the UK. Please see: Right to work in the UK | Selwyn College For further information with the link to the application system, please click on the 'Apply' button above
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failure to provide this information will mean that the application will not be considered. An answer to any of the criteria such as "Please see attached CV" will not be considered acceptable. Please note
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for the Expansion of Wellbeing Archaeology (KNEWA). KNEWA will run for 1 year, it will collect and compare data on policies and delivery of WA in England, Denmark and Italy to advance understanding of what works in
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of Manchester and Imperial College. This role involves computational modelling and experimental data analysis, integrating mathematical models of clock neurons and populations with in-vitro and in-vivo
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About the role The work has a particular focus on quantitative analysis of the national data to estimate mental health needs which are both known and unknown to health services related to mental