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Field
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evolution on integrated sensing and communication technologies will be leveraged in this PhD research to achieve reliable remote health monitoring of vital signs. To reduce the impact of variability
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Assist. Prof in Next-Generation Approaches of Remote Sensing for Applications to Digital Agriculture
Assist. Prof in Next-Generation Approaches of Remote Sensing for Applications to Digital Agriculture Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher
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biomes. We are looking for a highly motivated researcher, with experience in Phenology and Remote Sensing and the ability to work collaboratively. Must present a PhD in Ecology, Plant Biology, Conservation
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Assist Prof in Next-Generation Approaches of Remote Sensing for Applications to digital soil mapping
the challenging food security/sustainable agriculture, water and environmental goal in Africa, with a special focus on developing actionable and impactful methods/tools that use multi-source remotely sensed data
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aligned to these values and are looking for a Postdoctoral Research Associate (Agricultural Remote Sensing) who has: a PhD (or near completion) in remote sensing, precision agriculture, computer science
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in the context of global sustainability standards. Key Responsibilities: Research and Development: Conduct cutting-edge research that utilizes GIS, remote sensing, and other spatial technologies
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Salary: Salary Commensurate with Experience Location:East Lansing Categories:Education/Training, Health Care Professional, Fixed Term Faculty, Full Time (90-100%), Union, Remote-Friendly Working/Functional
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of climate change. The position is geared for a recent PhD graduate with interest in collaborating across disciplines, and expertise in remote sensing, spatial data analysis, machine learning and computer
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10034696 Sub Area: FAS- Fac./Acad Staff Salary: Salary Commensurate with Experience Location:East Lansing Categories:Research/Scientific, Fixed Term Academic Staff, Full Time (90-100%), Non-Union, Remote
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Data Science, PhD in Applied Statistics or Computer Science with research focus on natural resource remote sensing Required Other Additional Preferred Experience or education in agriculture, natural