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Field
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). Qualifications: PhD in Electrical Engineering, Control, Applied Mathematics, or related field (completed or near completion) Strong publication record in top-tier journals or conferences in power systems, control
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habitat characterization workflows using combinations of bathymetric datasets, side-scan sonar, remotely sensed imagery, GIS, and other spatial datasets to produce habitat maps, ecological indicators
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. Experience using GIS, side-scan sonar, multibeam bathymetry, underwater imagery, remote sensing, and other marine habitat mapping technologies is highly desirable. Candidates should have experience integrating
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results. This is a full time post (35 hours per week), and you will be offered an fixed term contract of 9 months. Remote working arrangements can be found. Research staff at King’s are entitled to at least
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geospatial datasets using appropriate methods (e.g. GIS, remote sensing, drone-based survey where appropriate). Contribute to the co-development of Minimum Valuable Prototypes (MVPs), ensuring scientific
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., PM2.5, NO2, and SO2) over the United Sates for electric utility air permitting. The postdoc will also have the opportunity to work on other topics related to air quality modeling, remote sensing, and
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future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
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motivated Postdoctoral Researcher (R2) who has recently completed their PhD and is looking to further develop their research career within a structured and supportive environment. This role offers a defined
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practices. These projects include: a) investigate how different grazing management strategies impact carbon and water cycling in grassland ecosystems, b) integrate remote sensing data (e.g., NDVI, EVI, land
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. The position will be based at Michigan State University in East Lansing, MI, USA. MSU strives to provide a flexible work environment and this position has been designated as remote-friendly. Some or all