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considered. The candidate should be able to demonstrate quantitative data analysis skills and a good understanding of experimental research design. Experience in conducting behavioural experiments or using
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of human disease, particularly neurodevelopmental disorders, including data analysis, image processing, literature research, and composition. They will handle transgenic mouse models, maintain colonies
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; the regulation of gene expression; population genetics, genome analysis and the development of breeding systems. Species in use are model organisms such as Arabidopsis thaliana, Physcomitrella, tobacco and yeast
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Number req26841 Department Pharmacy Practice and Science Department Website Link https://www.pharmacy.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights A Postdoctoral Research
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with mayors and street-level bureaucrats in Brazil, data organization, coding and analysis, comparison of Brazilian and Belgian findings, and contributions to papers and dissemination activities
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of infection, and microscopy. Multi-omics approaches and big data analysis will be included. Perform data analysis, prepare data for presentations (oral and written), write manuscripts and other research
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biology including (meta)genomics and metabolomics, bioinformatic analysis, behaviour, immunofluorescence, optogenetics and microscopy. Experience in these disciplines particularly with a focus on zebrafish
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: https://neurock.cems.umn.edu/ Candidates are expected to lead scientific research efforts, mentor and collaborate with others, give scientific presentations and write scientific reports and manuscripts
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options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 10 days ago
materials from the spaceflight hardware that could confound in situ analysis. The goal of the research is to develop methodologies and a library that will inform organic molecule detection and interpretation