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, and improve prediction accuracy - develop Machine Learning and AI algorithms for crop management, yield predictions and decision support systems - prepare manuscripts for peer-reviewed publications
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of programming or scripting languages such as Python, Fortran, R or others. Experience in remote sensing data analysis and geographic information systems. Experience in machine learning motivated algorithms and
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, Horticulture, Plant Pathology, Entomology or Agronomy • Ability to work individually and by interacting with internal and external teams • Understanding of the genetics and breeding principles of open
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Description Job Responsibilities: - Develop and validate ant-derived DNA barcoding protocols to detect and identify invasive arthropod pests - Conduct population genetic and genomic analyses (e.g
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molecular biologist to generate high throughput sequencing data. In parallel, the candidate will lead the bench work of single-cell RNA sequencing, spatial transcriptomics, confocal imaging and genetic
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vegetables. Ability to investigate the influence of genetic and environmental factors on the biosynthetic pathways of metabolites in different fruit and vegetable species. Ability to link abiotic and biotic
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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
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Bacterial genetics for multiple species of organism Required Special Knowledge, Skills, and Abilities: Good communication and computer skills. Open approach to defining a problem and designing a strategy for
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untargeted metabolomics, analytical chemistry, and statistical analysis. The postdoctoral fellow will focus areas that improve nutritional qualities in crops using plant genetics, genomics, metabolomics
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broad focus areas in prevention of diet-related chronic diseases, plant genetics & biofortification and mechanistic studies in nutrition-health associations. The candidates will collaborate with USDA-ARS