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at the University of Oxford, the British Geological Survey, and with various external partners, including government bodies and industry as part of the DarkSeis (https://geophysics.gly.bris.ac.uk/DarkSeis/index.html
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data visualization. The ideal candidate will also bring hands-on experience with emerging technologies such as AR, VR, MR, and spatial/extended reality (XR), and demonstrate a passion for mentoring
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | about 1 month ago
transferts de fertilité ainsi que la dispersion de communautés microbiennes à grande échelle spatiale. A terme, le travail de cette thèse pourra contribuer à de tels développements. L'objectif général de la
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of observed meteorological elements at all spatial scales. ICV also constitutes an important source of uncertainty in climate model outputs, especially regarding the occurrence of climatic extremes. Furthermore
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theme; (iv) Perform statistical analyses in SPSS; (v) Perform content analysis in NVIVO; (vi) Present the project activity in Portuguese or English at scientific meetings, conferences, congresses
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in Urban Informatics & Smart Cities and Doctor of Philosophy. LSGI has a very strong research programme that encompasses research activities in the areas of urban informatics, spatial big data
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datasets. The ideal candidate will have: ?Formal training and experience in analysis of high-throughput data using statistical or machine learning methods, and strong programming skills. ?Demonstrated
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SD-26045-RESEARCHER IN ADVANCED PLASMA-ASSISTED DEPOSITION PROCESS DEVELOPMENT FOR CATALYTIC THIN...
in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? In the framework of a bilateral project
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variety of important ecological and conservation applications. We are seeking a visionary Statistical Scientist to join the Status and Trends (S&T) research team at the Center for Avian Population Studies
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in person in São Paulo and involves single-cell and spatial transcriptomics analysis, integration of multi-disease datasets, investigation of cell–cell communication, and the development