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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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experience in fisheries and hydroacoustics surveys. The individual will use available and new data collected with active acoustics (sonar) in the Laurentian Great Lakes. Hydroacoustics is used worldwide in
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contribute to the development of a deep mutation screening platform to identify pathogenic genetic variants at large scale. Â The successful candidate will be expected to contribute to research experimentation
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outreach and technical assistance, and providing decision-makers with decision-support tools, data analytics, and policy solutions. The Department of Ocean Engineering conducts world-class research in
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their immunogenicity; Develop analysis strategies for large data sets and correlation matrix using programming languages (R, Python, SQL, etc.); Scientific supervision of undergraduate and doctoral
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multi-modal models, contributing to bridge transport economics, network modelling and activity-based modelling, and leverage different types of (big) data. The applicant should be a creative and motivated
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underserved populations. Research skills and experiences will include utilizing mixed methods research, community engagement, qualitative, quantitative, and big data collection and analysis. This position
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of statistical packages (Stata, R or equivalent). • Experience in spatial analysis and use of Geographic Information Systems (GIS). • Ability to work with large databases and data management tools. Languages
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24 Oct 2025 Job Information Organisation/Company CNRS Department Institut de biologie de l'Ecole Normale Supérieure Research Field Biological sciences Computer science Mathematics Researcher Profile
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Mediterranean Institute of Oceanography | Marseille, Provence Alpes Cote d Azur | France | 5 days ago
, cell sorting (e.g. BONCAT-FACS) is advantageous. • Quantitative skills in analysis of large datasets, for example: to integrate biological/genomic data with biogeochemical measurements, biogeographic