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learning (ML). Our lab explores the intersection of artificial intelligence, and human-computer interaction, striving to create technologies that amplify human potential. The successful candidate will engage
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user. Our research focuses on understanding and enhancing human performance and behavior as people interact with complex systems, with the ultimate goal of improving operator safety, productivity, and
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applicant will participate in research involving human computation, knowledge discovery, machine learning, and data science. The position will provide the opportunity to develop applied research skills in
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applying AI/ML models to predict cis-regulatory elements in plant genomes and uncover mechanistic insights into protein-DNA interactions. (2) Developing and applying computational methods to infer gene
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AI systems Requirements: PhD in Mathematics, Computer Science or related fields, with no more than five years post-receipt of PhD. The appointment is for two years, with the possibility of renewal
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background. Demonstrated experience designing and building scientific instruments, including the integration of optical, electronic, mechanical, and computer-controlled subsystems. Hands-on expertise in one