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the time at which the appointment decision is made. To be eligible for the position, you should have: Strong skills in programming and analytical tools, particularly R, including data visualization and
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10 Oct 2025 Job Information Organisation/Company CNRS Department Laboratoire de Mathématiques et Applications Research Field Physics Researcher Profile Recognised Researcher (R2) Country France
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
cross-functionally: work with people across the team to find creative solutions and deliver them. * Skilled at data visualization and presentation: The candidate will be called upon to present work
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Research & Tool-building (60%) - Geospatial/RS analytics; model design and validation; reproducible workflows. Stakeholder Collaboration (20%) - Co-develop decision tools; synthesize partner data; occasional
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heterostructures using MBE. Device fabrication using advanced micro- and nano-fabrication techniques. Low-temperature and high-field magneto-electric transport measurements. Data analysis, interpretation, and
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Biology at Texas A&M University is seeking a Postdoctoral Researcher to work on questions involving (1) The evolutionary drivers of avian visual systems, foraging behavior, and sensitivity to Anthropogenic
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cloud data and 2D floor plans to assess spatial and visual properties of EDs, ensuring data accuracy through ground-truthing. Apply cluster analysis and statistical methods to classify EDs into spatial
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languages and data analysis tools such as Python, Matlab, and R. Proficiency in GIS software (e.g., ESRI ArcPro). Strong written, oral, and visual communication skills. Responsibilities Research- Under
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writing) is mandatory. 4. Strong ability in data analysis and visualization is required. 5. Knowledge of French or Chinese is an asset. • International Experience: Prior research experience abroad is highly
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of Psychology at the University of Sheffield. The study employs an innovative experience-sampling research method, investigating the relationship between intra- and interindividual variation in visual working