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, plan and execute in vitro and in vivo experiments. Formal accreditation for work with animal models (e.g. FELASA C or equivalent) AND experience with mouse surgery and xenotransplant. Experience with
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the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to [email protected] . Please quote reference PHP-HSRP-2026-15. The supporting statement section
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data science approaches. Must document scientific programming skills, specifically for data processing and analysis of large datasets. Evidence of creativity and capability of independent research
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this during the application process. Remuneration for a Research Fellow is set by reference to the University of Cambridge salary scale and will start from £32,882 per annum. Free dinner (or lunch) is
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, electrochemical catalysis, reactor design and process optimisation for CO2 electrochemical reduction. You will be working with leading experts from a dynamic and multidisciplinary team including University
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humane endpoints. Collect blood, tumors, and other tissues; perform or coordinate necropsy and tissue processing; and support downstream histologic, molecular, and pharmacodynamic/target-engagement
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 1 month ago
) accounting for the presence of microscopic defects. Document research findings, process steps and results in reports or for scientific publication purposes. 3. Scientific supervision: Dr. Igor Lopes. The work
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unknown PRRSV strains and present a portfolio of biomarkers, cell populations, and/or immune processes to target for revised immunomodulatory design strategies that are catered towards prevention/treatment
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of tropical fruit, vegetable and ornamental crops grown in the Pacific Basin.. During this fellowship you will engage with research to extend existing computer models of surveillance traps for invasive insects
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Responsibilities: Conduct project related research on geophysical/geomechanical investigation, geomodelling, data analytics, and machine learning. Responsible for processing and analyzing geophysical/geomechanical