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(Horticultural Sciences, Plant Genetics, Genomics, Breeding, or closely related field). Required Knowledge, Skills, and Abilities: Experience in R programming and software for genetic analysis of polyploid plant
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statistical software & machine learning (e.g., R, Python, SAS, or STATA). Experience working with large population dataset (e.g. EHR, claims data). Background in health informatics, population health research
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," aiming to drive profound transformation in industrial manufacturing by breaking through key technologies in smart equipment, industrial software, and system solutions. The center collaborates closely with
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link: https://resources.uta.edu/hr/services/records/compensation-tools.php CBC Requirement It is the policy of The University of Texas at Arlington to conduct a criminal background check on any applicant
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, and bioactive compounds from plant, food, microbial, and human samples; develops and optimizes analytical methods; analyzes complex datasets using metabolomics and statistical software tools
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, protocol review, and partner communication. Maintain lab equipment and software, such as equipment calibration and software update. Conduct regular lab safety check, such as lab equipment set-up, workspace
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of finite element simulations methods. Experience using parallel Linux computing platforms, parallel job submission scripts, common software repository tools (e.g., GitHub), and parallel visualization
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together computer scientists, AI researchers, domain scientists, software engineers, and high-performance computing experts. You will help design and implement new methods for multimodal federated learning
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on items directly related to the research activity. Where to apply Website http://www.fapesp.br/oportunidades/9863 Requirements Additional Information Eligibility criteria Eligible destination country/ies
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. How to apply Send your CV, together with a motivation letter and a letter of recommendation, to [email protected] by October 12, 2026. Where to apply Website http://www.fapesp.br