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Possess proficiency in programming languages commonly used in geospatial analysis, such as Python, R, or MATLAB.Demonstrate strong theoretical and practical knowledge of remote sensing principles, image processing techniques, and geospatial analysis methods relevant to carbon monitoring and climate analysis.
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Strong theoretical knowledge of strength in materials, advanced solid mechanics, and finite element analysis. Conduct structural simulation and analysis on Cab Engineering components, including BIW, Vehicle Front, Living and Driving areas, and exterior Aerodynamic assemblies.
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PhD degree related to geography, geographic information systems, remote sensing, or physical / biological / environment / natural resource discipline with substantive coursework in geospatial analysis and modeling, and one (1) year relevant work experience.
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Utilize AWS services such as CloudFormation, Lambda, API Gateway, S3, DynamoDB, RDS, Glue, Athena, and QuickSight for data management and analysis. IRIS Software, Inc. We are seeking a highly skilled AWS Data Engineer with expertise in building Data pipelines and processing solutions on the AWS platform, focusing on Databricks, Delta Lake, and Python development.
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The new appointee will apply and constantly improve his experience and skills in analysis of additively manufactured parts both experimentally and theoretically, using modeling and simulation, finite element analysis (FEA), ML/AI methods, and vibrational resonance spectroscopy to characterize the status of parts based on their vibrational spectra.
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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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Proficient at remote sensing modeling (e.g., data cleaning, feature selection, analysis, designing, building, and model assessment). 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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Title: Senior Radar Scientist KBR is seeking a Senior RADAR Engineer (12+ years of Experience) to work on a multi-discipline team that supports various government customers in the Washington Metropolitan Area in the fields of photogrammetry, radargrammetry, computer vision, remote sensing, and statistical 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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The successful candidate will have a depth of experience in the development, analysis, and design of utility scale, transmission interconnected PV systems and battery storage systems. Senior Engineer, Utility Projects - MISO (Remote or Hybrid) page is loaded.
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Advanced finite element analysis of vessel, piping, valves and other nuclear components. Assist and lead in maintaining company standards related to finite element analysis. Supporting and leading the finite element analysis team.
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Hybrid options and flexible schedule after 90 days of employment to include possible telehealth, and remote data entry/ analysis and programming. We have a multidisciplinary team (from the fields of psychiatry, nursing, psychology, applied behavior analysis, social work, and counseling) with recognized expertise in the treatment of the social, emotional, and behavioral issues affecting individuals with Autism Spectrum Disorder (ASD) and Intellectual Disability (ID.
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Remote sensing-based land cover mapping over agricultural areas and crop classification; 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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Applicants must have strong analytical, remote sensing and GIS skills and an exceptionally strong understanding of machine learning algorithms. Develop and implement remote sensing and statistical methodologies to perform land use and land cover classification (crop classification.
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The position shall evaluate and apply new remote sensing and associated technologies (e.g., new sensors and platforms, software technologies, data processing and analysis methods, data mining, geospatial modeling, UAV data extraction and interpretation, etc.
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analysis remote jobs Company: Iris Software
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