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Field
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Are you interested in the future of Plant Breeding and exploring the genetic potential of plants to develop resilient crops for a sustainable agriculture? Then this vacancy may be of interest to you
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, you will design, train and implement ARCA: an AI foundation model for crop microbiomes. You will work at the interface of deep learning, bioinformatics and microbial ecology, using large-scale
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Postdoc Position in AI Foundation Models for Crop Microbiomes Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application
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the Horticultural Sciences Department and the Crop Transformation Center (UF/IFAS CTC). The Baysal Lab seeks a motivated Postdoctoral Associate to advance plant transformation and genome engineering. The position
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Position Title: Postdoctoral Research Associate in Crop Genetics and Functional Genomics Appointment Type: Post Doc/Trainee Job Description: Summary of Duties and Responsibilities: We are seeking a
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Position Title: Postdoctoral Research Associate in Crop Genetic Resources and Informatics Appointment Type: Post Doc/Trainee Job Description: Summary of Duties and Responsibilities: We are seeking
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Position Title: Postdoctoral Research Associate – Crop Systems Modeling and Data Analytics Appointment Type: Post Doc/Trainee Job Description: Summary of Duties and Responsibilities: The Department
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Posting Details Position Information Posting Number PG191643PD Position Number 00111940 Position Type Post Doc FLSA Exempt Departmental Information Department ID 111801 - Entomology and Plant Pathology Department 111801 - Entomology and Plant Pathology Job City & State Raleigh, NC
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crop monitoring and decision-support systems for Controlled Environment Agriculture (CEA). This project focuses on the development, validation, and integration of non-destructive plant sensing
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crop monitoring and decision-support systems for Controlled Environment Agriculture (CEA). This project focuses on the development, validation, and integration of non-destructive plant sensing