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for the Spring 2027 semester. This is a part-time, non-benefited position. All courses will be taught in person. No applicants seeking to teach remotely will be considered. Course Description: HGS-374 Comparative
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such as PyTorch, TensorFlow, or similar tools Curiosity about geospatial data, remote sensing, subsurface sensing, or utility mapping applications; Strong analytical and problem-solving skills The ability
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circumstances, the doctoral degree can have been completed earlier. Additional requirements: PhD in physical geography, remote sensing, geoinformatics, forest ecology, environmental science, or a closely related
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English PhD Research Fellow in remote sensing of the cryosphere Apply for this job See advertisement About the position We invite applications for position as PhD Research Fellow in remote sensing
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and Remote Sensing. Where to apply Website https://www.academictransfer.com/en/jobs/362993/postdoc-in-remote-sensing-and-g… Requirements Specific Requirements You are/have A PhD degree in Remote Sensing
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budgets, financial statements, statistical reports, cost analyses and other financial information originating in the University Budget Office. Work Arrangement – Remote DEPARTMENTAL PREFERENCES Proficiency
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» Remote sensing Agricultural sciences » Forest sciences Researcher Profile Recognised Researcher (R2) Positions Other Positions Application Deadline 6 Oct 2026 - 23:59 (Europe/Brussels) Country Austria Type
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The postdoctoral researcher will develop a novel active remote sensing method for the detection and characterization of stratospheric aerosols by adapting the AEROTYPro/GRASP methodology to observations from
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and analyses based on various input data sets from eDNA, remote sensing and biodiversity observations? Department of Biology advertises a postdoc position focused on data integration and visualisation
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, Computer or Data Science, Remote Sensing, or a related field. Proficiency in Python and experience with geospatial data processing, spatial analysis, scientific programming, data visualization