618 algorithm-development-"Multiple"-"Prof" "UNIS" Fellowship positions in United Kingdom
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demonstrate evidence of continuing professional development alongside excellent organisational skills with the ability to work flexibly and autonomously and contribute to / manage multiple projects at various
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, the role-holder will be part of the Centre’s central ECR cohort, with support from a cohort director / Centre deputy director and access to a Centre-wide ECR development programme—for example, co-writing
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, the role-holder will be part of the Centre’s central ECR cohort, with support from a cohort director / Centre deputy director and access to a Centre-wide ECR development programme—for example, co-writing
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). This role is an exciting opportunity to take a role in the development, management and analysis of a new repository of Individual Participant Data (IPD) from ageing research trials. The work is an
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partners. Main Duties Improve, develop, implement, and apply advanced computational tools and workflows to process, analyse, and interpret large-scale LCMS-based metabolomics datasets across multiple species
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at Cambridge. The Fellow will work under the supervision of the Principal Investigator and Director of LISA, with a view to developing LISA's research capacity in spatial analysis of housing inequality
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multiple stakeholders, you will have excellent communication and interpersonal skills. We are particularly interested in receiving applications from candidates who have a desire to develop as a global mental
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quantitative data analysis of large secondary datasets and be based at the University of Bristol. There are opportunities to work on several other ongoing and upcoming research projects to help develop your
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on applying multiple quantitative approaches consistent with intersectionality theories to study social inequalities in youth population mental health. Throughout the project, existing data from multiple cohort
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We seek to recruit a Research Associate/Fellow to join our team developing a groundbreaking technique based on autofluorescence (AF) imaging and Raman spectroscopy for detection of positive lymph