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Masters or PhD in Electrical Engineering, Physics, Image Science, Remote Sensing, Optics, or other Physical Science or Engineering degree is required. Familiarity with data science including analysis and reduction techniques, numerical algorithms, control systems, big data, and deep learning concepts.
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Required Education, Experience, & Skills 10+ years of experience and a Bachelor of Science degree in image science, remote sensing, earth science, physical science, engineering, or similar engineering/science field or.
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The APS (Landscape Remote Sensing Scientist) will assist in the development of new data products to track ecosystem change through time. The candidate must demonstrate the skill to perform complex remote sensing and geospatial processing tasks and the ability to learn new methods and science when needed.
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The Associate Data Scientist works with the data science team to facilitate and manage clinical data collection for algorithm development, for clinical studies related to FDA submission, and for research and scientific communications purposes.
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Master's degree in Mathematics, Statistics, Data Science, Computer Science, Economics, Operations Research or related quantitative field (willing to accept foreign education equivalent) plus three (3) years of experience as a Data Scientist or performing predictive analytics within the financial services or insurance industry.
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The Bioinformatics Scientist will have a PhD in Bioinformatics, Computer Science or related discipline, and ideally at least three years' experience in microbial genomics analysis. The Emory University School of Medicine, Division of Infectious Diseases, is seeking a Bioinformatics Scientist to contribute to microbial genomics projects of high public health importance, in conjunction with the CDC's Emerging Infections Program.
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The successful Remote Sensing Scientist candidate will be responsible for working with our growing geospatial team comprised of remote sensing/GIS experts and a range of agronomic, environmental, and other land-based science disciplines.
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Our areas of expertise include remote sensing, geospatial analysis, GIS, soil science, water quality and demand evaluation, agricultural systems, salinity and nutrient management, ecosystem restoration, statistics, and regulatory policy.
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Land IQ, LLC is seeking a Remote Sensing Scientist in its Sacramento, California office with a specialization in data driven analytics and algorithm development with digital images for agricultural and other land use applications (crop classification, yield modeling, land use impacts, land use change, etc.
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Candidate will be responsible for working with our growing geospatial team comprised of remote sensing/GIS experts and a range of agronomic, environmental, and other land-based science disciplines.
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In this role as Senior Data Scientist, you'll be working in a team of Data Scientists led by Lead Data Scientist to develop advanced data science solutions, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products.
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Remote sensing-based land cover mapping over agricultural areas and crop classification; Applicants must have strong analytical, remote sensing and GIS skills and an exceptionally strong understanding of machine learning algorithms.
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Location : Remote, US. What you'll do: Utilize data science techniques to analyze and assess the maturity of data taxonomy processes, target systems, and reliant systems. About the role: Gen3 is currently seeking a talented Data Scientist to join our team, dedicated to supporting the Internal Revenue Service (IRS) on the ISSM Vulnerability Compliance and Remediation Program.
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Develop and implement remote sensing and statistical methodologies to perform land use and land cover classification (crop classification) Work in a team environment on a wide range of projects, supporting our team of scientists, remote sensing analysts, and GIS analysts.
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General Dynamics Information Technology has an immediate opening for a Senior Scientist working at a company facility in Chantilly VA with image data processing experience that is committed to pushing the limits of truly advanced technologies.
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