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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
Vector Core Director - Open Rank Appointment Type Fixed Term Faculty Vacancy ID FAC0005510 Full-time/Part-time Full-Time Permanent Hours per week 40 FTE 1 Position Location North Carolina, US Hiring Range
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Fields, Relativity, Gravitation, and Cosmology Where to apply Website https://sig.ufabc.edu.br/sigrh/public/home.jsf Requirements Research FieldEconomics » MicroeconomicsEducation LevelPhD or equivalent
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-assisted vector databases, data-mining techniques - to reassess currently available information sources including letters, diaries, manuscripts, annotated maps and objects to identify these women
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disease vectors and agricultural pests develop resistance to insecticides, as well as explore novel insecticide targets and biotechnology-based approaches to control insects. Job Description: The successful
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research projects. Independently perform experimental procedures including hybridoma campaigns, sequencing and cloning of antibody binding regions into suitable vectors for expression, handle cell lines and
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of this project, the group of Vectors, Gene and Cell Therapy of the Center for Innovation in Biomedicine and Biotechnology, University of Coimbra, is dedicated to the optimization of mRNA manufacturing
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equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience No experience required. Required License/Registration/Certification KY Radiation Operator’s License at time of
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isothermal titration calorimetry. Perform RNA/DNA isolation, expression vector design and construction, PCR, site-directed mutagenesis, and enzymatic assay development for medium- and high-throughput screening
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months) Holiday Entitlement: 33 days annual leave plus 9 buildings closed days (and Christmas Eve when it falls on a weekday) Purpose of Role The Laboratory of Ultrafast Physics and Optics (LUPO, https
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 3 months ago
., Sentinel-2, Landsat, PlanetScope) and recent advances in deep learning techniques, a unique opportunity has arisen to automate and accelerate the production of detailed, consistent, and reproducible vector