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Job Purpose You will contribute to the ESRC Impact Acceleration Account-funded project Navigating Political Change in Local Government, working with the Principal Investigator, Dr Fred Paxton, and
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a particularly suitable venue for conducting interdisciplinary research in eco-evolution. The ECO-EVO BIODIV project is based within the Genetics and Evolutionary Ecology (GEE) team at CEEFE (https
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seeking Postdoctoral Associate candidates. The person hired into this position will be working on a Cornell Future of American Agriculture Initiative-funded project focused on developing next-generation
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for Urban and Regional Development Studies invites applications for a Research Assistant or Associate to join the ESRC New Investigator project ‘Growing Green Talent: Building Local Skills Ecosystems
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for Urban and Regional Development Studies invites applications for a Research Assistant or Associate to join the ESRC New Investigator project ‘Growing Green Talent: Building Local Skills Ecosystems
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We have received funding from UK Mental Health Mission to further support research activity in University of Manchester and local NHS Early Intervention in Psychosis Services. The post will support
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package including full details of the post, selection criteria and application process see https://ore.ucc.ie/. The University, at its discretion, may undertake to make an additional appointment(s) from
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contributions. Additionally, Cornell provides access to professional development initiatives, wellness programs, and employee discounts with local and national retail brands. To apply: Please apply via Academic
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 3 days ago
Neighbourhoods with Different Levels of Accessibility" (Project Reference: DUT/0007/2022), funded by the Foundation for Science and Technology (FCT, I.P.). DOI: https://doi.org/10.54499/DUT/0007/2022
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Associate to join the Parallel Systems Lab (https://psl-ntu.github.io ) at NTU’s CCDS. The role focuses on designing, developing, and evaluating efficient, scalable systems for modern multi-agent HPC-AI