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Conduct in-depth economic research and analysis to identify trends, challenges, and opportunities affecting the agricultural sector. Have experience in economic and policy analysis within the agricultural sector.
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ADM Financial Planning & Analysis Summer Internship. We're an unmatched agricultural supply chain manager and processor, providing food security by connecting local needs with global capabilities.
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Our areas of expertise include soil science, water quality and demand evaluation and management, data science, agricultural systems, salinity and nutrient management, ecosystem restoration, geostatistics, remote sensing, geospatial analysis, and regulatory policy.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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The successful candidate will be responsible for working with our agricultural and environmental teams as well as our geospatial and development team comprised of remote sensing/GIS specialists, data scientists, and web-based developers.
$70,000 - $95,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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2) Agricultural Financing or Farm Business Management Experience: Minimum of two (2) years of responsible work experience which involved the analysis of applications for agricultural loans conducting the analysis and evaluation of financial and credit risk factors in determining eligibility for an agricultural loan on behalf of a lender or experience which involved the application of agricultural concepts, principles and practices involved in farm management and operations.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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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.
RemoteExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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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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Remote sensing-based land cover mapping over agricultural areas and crop classification; Proficient at remote sensing modeling (e.g., data cleaning, feature selection, analysis, designing, building, and model assessment.
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BS/MS Remote Sensing/Geography/Data Sciences field (advanced degree preferred)Experience: 0-5 years of experience in at least one of the following areas:Remote sensing-based land cover mapping over agricultural areas and crop classification;Image based time series analysis and crop phenology modeling;Remote sensing of crop evapotranspiration; and/orImage based crop yield modeling.
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Perform and develop advanced object-based image analysis procedures and methodologies for earth science applications. Leverage a strong understanding of multispectral imagery characteristics to solve complex agricultural and environmental land-based problems.
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Develop and perform raster-based imagery analysis procedures, spatial and statistical modeling applications. Image based time series analysis and crop phenology modeling; Understand geospatial challenges and conceptualize and articulate analysis approach ideas within a multi-disciplinary team.
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Land IQ specializes in providing solutions to challenging agricultural and environmental problems throughout the western United States. Develop innovative image analysis solutions using a wide array of data sources.
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This is an environmental consulting position requiring ability to develop analysis approaches/methodology and work within a team to optimize methods. Proficient at advanced spatial analysis and geoprocessing (e.g., image segmentation, object-based image analysis.
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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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Familiar with deep learning platforms (e.g., Keras, Tensorflow) and related classification and segmentation algorithms. Applicants must have strong analytical, remote sensing and GIS skills and an exceptionally strong understanding of machine learning algorithms.
RemoteExpandApply NowActive JobUpdated 11 days ago
agricultural analysis jobs
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