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the perfect person to strengthen our team at the Laboratory of Geo-information Science and Remote Sensing as an Assistant Professor in Geo-information Science. The Laboratory of Geo-information Science and
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; Knowledgeable in receptor pharmacology Knowledgeable in in vitro assay development Excellent proficiency in English; Collaborative mind set; Good technical skills; The candidate should feel comfortable working in
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English; Collaborative mind set; Good technical skills; The candidate should feel comfortable working in a collaborative environment. Initiative, creativity and an independent working attitude are highly
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remote sensing surveys, material studies, and geoarchaeological and archaeometric sampling. Examples of current fieldwork by the Regato team are available on this webpage: https://www.knir.it/en
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remote sensing/climate data. You have programming skills in Python and/or R; you are familiar with reproducible coding and automated geospatial data analysis. You have excellent scientific writing and
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relevant to space communications, navigation and remote sensing; Wave interaction for active, passive and combined remote sensing of ocean, land and atmosphere of the Earth and other planets; In-situ
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Your job Are you enthusiastic about understanding climate feedback processes in tundra ecosystems? Are you enthusiastic to conduct field- and remote sensing-based monitoring for impactful science
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dune datasets along the Dutch coast. Using remote sensing, you will create a national dune vegetation dataset and compare it with dune morphology data to assess the role of vegetation in decadal dune
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remote sensing/climate data. You have programming skills in Python and/or R; you are familiar with reproducible coding and automated geospatial data analysis. You have excellent scientific writing and
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millimetre wave remote sensing instruments, and navigation payloads exploiting analogue, digital and optical onboard technologies; telemetry, tracking and control (TT&C) subsystems, payload data transmission