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Field
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experience in image-based phenotyping, artificial intelligence applied to grapevine breeding, genome-wide association studies (GWAS), genomic selection (GS), and statistical analysis. Mandatory requirements
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across the U.S. Gulf Coast. EGRET employs an integrated model–experiment (ModEx) approach accelerated by artificial intelligence (AI) to advance predictive understanding of how plant–microbial–soil
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, an interdisciplinary effort at the interface of genomics, artificial intelligence, and biophysics. The project aims to elucidate the mechanisms governing DNA replication initiation in metazoans by combining deep
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/2026 Position Qualification Position Summary Developing and/or applying artificial intelligence, machine learning and/or data science-based methods to address cutting-edge topics, including but not
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October 2026 Apply now Do you want to use artificial intelligence, geospatial data science, and urban analytics to create healthier and more equitable cities? Are you excited about developing innovative AI
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expertise in computational toxicology, data science, artificial intelligence and data governance. Ideally, the candidate has experience in applied science or a keen interest in applying their experience
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Learning (SCSIL) is seeking a highly motivated Postdoctoral Researcher with training in computer science, artificial intelligence, biomedical engineering, or a closely related field to join an
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“drylab” techniques. Current drylab approaches focus on bioinformatics, including emerging artificial intelligence models. Current wetlab approaches focus on RNA and chromatin biology. Candidates should
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Research Associate to conduct cutting-edge research in Ambient Backscatter Communications (AmBC), next-generation RFID, future intelligent wireless communications and Artificial Intelligence of Things (AIoT
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development of advanced cryogenic calorimeters and associated electronics for the next-generation neutrinoless double-beta decay search. Support the development of Artificial Intelligence (AI) algorithms