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for SecondmentYesClosing Date12-Jul-2026JD_Param11YesJD_Param12Yes UCL HR is a service driven function of approximately 140 HR professionals, working closely alongside our eleven academic faculties and our nine professional
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Affairs Department 02202 - UCL Academic/Professionl Prgms Location Campus City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range $75,000-$84,250 Close Date 11/24/2026 Priority Review
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University of California Office of the President | Oakland, California | United States | 3 months ago
including UC Legal (UCL) on labor-related litigation activity, the Office of State Governmental Relations (SGR) in representing the University's position on legislative, budgetary and policy matters
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have some familiarity with bioinformatics and a degree in evolutionary biology or related discipline. References Elmer KR (2016) Genomic tools for new insights to variation, adaptation, and evolution in
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programme (https://www.childsmile.nhs.scot/), funded by the Scottish Government, aims to improve child oral health, and reduce inequalities through universal and targeted interventions within the home
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) 25 Years of thermomorphogenesis research: milestones and perspectives. Trends Plant Science, https://doi.org/10.1016/j.tplants.2023.07.001 RECROP COST, Integrative approaches to enhance reproductive
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of the project. The PhD will be in HPE Education or Clinical and Surgical Sciences depending on the project. Applications: Open to prospective doctoral students (doctors and other HCPs) who have an interest in
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. Nanomaterials 2023, 13, 1190. https://doi.org/10.3390/nano13071190 Mesenchymal Stromal Cell-derived Extracellular Vesicles in Wound Healing Supervisor: Catherine Berry MSc choices: Stem Cell Engineering for
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Our portfolio covers many aspects of parasitology research from molecules to cells and whole organisms to populations. Research activities are based around skills in molecular biology, biochemistry
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. Network Science. Cambridge University Press. 2016. http://networksciencebook.com/ Wu Z, Trevino AE, Wu E, et al. Graph deep learning for the characterization of tumour microenvironments from spatial protein