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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning
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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning
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knowledge of an interpreted language (Python, R, etc.), the knowledge of Netcdf format would be a plus, writing scientific articles (at least one publication as 1st author in a peer-reviewed journal
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another quantitative social science. Proven skills in empirical methods and proficiency in at least one programming or scripting language (e.g., R, Python, Stata). - Experience with the integration and
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laboratory with seven Nobel Prize-winning discoveries, 37 R&D 100 Awards, and more than 70 years of pioneering research. The Lab is primarily supported by the U.S. Department of Energy's (DOE) Office of
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research; d) Experience in conducting basic and advanced quantitative data analysis and proficiency in using statistical software, such as SPSS, R, or STATA; e) Proficiency in Portuguese and English, both
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, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted in the Department og Microbiome Dynamics of Prof. Gianni Panagiotou of the Leibniz-HKI in
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of Machine Vision for Institute of Automation and Computer Science Where to apply Website https://vutbr.jobs.cz/detail-pozice?r=detail&id=2000767113&impressionId=25d643a… Requirements Research FieldComputer
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skills and expertise with the requirements mentioned above. Please note that by applying you consent to share your application with Julie MOUZON, R&D Director from Circuit Foil Luxembourg Your diploma has
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of statistical analysis software (e.g., SPSS, R) and data visualization techniques Previous experience working in a research laboratory setting, preferably in pediatrics or related fields. Equal Employment