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Field
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forecasting, extreme weather, snow observation, soil moisture data analytics, and reservoir/lake system modeling in support of water resources decision-making. This position will work closely with the NOAA
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data integration for epidemiological innovation, funded by the Wellcome Trust. The CONNECT project offers the opportunity to work with the largest population-based UK cohorts, such as UK Biobank, CPRD
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London School of Hygiene & Tropical Medicine; | London, England | United Kingdom | about 2 months ago
data integration for epidemiological innovation, funded by the Wellcome Trust. The CONNECT project offers the opportunity to work with the largest population-based UK cohorts, such as UK Biobank, CPRD
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through data analytics. Translating complex scientific data into accessible information products and attending major conferences helping mentors build relationships with current and potential scientific
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, STATA, R, and SPSS). Experience in conducting evidence synthesis and systematic reviews. Preferred Qualifications Work Experience: Experience with advanced analytical theories, predictive modeling, data
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18 Sep 2025 Job Information Organisation/Company Institut du Cerveau et de la Moelle épinière Research Field Medical sciences Researcher Profile Recognised Researcher (R2) Positions Postdoc
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Fellow in Hydrology and Water Resources. The successful candidate will conduct advanced research in hydrologic modeling, flood forecasting, extreme weather, snow observation, soil moisture data analytics
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for someone with experience / wish to learn some of the following: complex chemical systems, reaction diffusion, analytical chemistry, chemical engineering. For appointment at Grade 8 some post doctorial
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written communication skills in English, including the ability to communicate with clarity on complex information. Excellent communication skills in Chinese is a plus. High analytical ability to analyze and
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procedure using 3D faces implemented in Virtual Reality. The project aims to develop an innovative solution to improve eye-witness accuracy by including 3-dimensional information from faces (shape, texture