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Type Staff Job Description Major/Essential Duties of Job: Conduct research to understand biodiversity responses to global change within an ecometric framework. Develop and refine ecometric models
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motivated candidate to support the national scale assessment of carbon (C) and nitrogen (N) cycling on croplands and pasture lands using the FEST-C CONUS-EPIC model. Responsibilities: Upgrade the integrated
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Type Staff Job Description Major/Essential Duties of Job: 1. Develop machine learning or physical based models for plant water stress quantification. 2. Develop machine learning models for crop mapping
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make a difference in the world! Position Information Texas A&M AgriLife Research at Temple is seeking a highly motivated scientist with expertise in areas of crop modeling, remote sensing, geospatial
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make a difference in the world! Position Information The selected candidate would assist a team of ecosystem modeling scientists to perform process-based ecosystem models based research and develop
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, modeling, and visualization. Other Requirements: In order to be considered for this position prior to your doctoral degree being conferred, please attach a letter from your school’s official Graduate Office
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efforts, identify resource needs, assess work quality, and troubleshoot issues accordingly • Monitor and report progress as appropriate • Develop workflows and models to standardize and improve
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our lab including single-cell transcriptomic analysis and cellular growth quantification in the plant model organism Oryza Sativa (rice) and beyond. The candidate will work here mainly as a cell and
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. Familiarity with computational modeling of structure-function relationship Experience in identifying metabolites in biological samples. Sufficient knowledge in statistical analysis tools (e.g., SAS, R, XLstat
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, Skills and Abilities: -ImageJ and Matlab. -Expertise in biosensors or protein design -Familiarity with genetic model organisms, microscopy, and other appropriate laboratory and/or technical equipment