42 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at University of Florida
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System at 800-955-8771 (TDD) or visit Accessibility at UF . The Natural Resource Economics Program at the University of Florida, Southwest Florida Research and Education Center, Immokalee, FL, is seeking
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leading research institutions, the University of Florida provides an exceptionally supportive environment for research. University support includes integrated and state of the art computer technology
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Assistance through the UF Employee Education Program • Public Service Loan Forgiveness (PSLF) Eligible Employer The University of Florida is an Equal Employment Opportunity Employer. To learn more about
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expertise in reflectance spectroscopy and chemometrics for vegetation analysis or high-throughput phenotyping. A strong background in GeoAI, computer vision, and data fusion techniques. Experience designing
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, computer science, information science, data science, (bio)-statistics, (applied) mathematics, physics, or a related STEM field. Prior working experience with EHR data, machine learning, deep learning
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regulatory compliance Strong computer programming skills, including Python and Git/Github Experience or interest in learning data visualization strategies and dashboard development using tools like Streamlit
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Interaction, Educational Technology, Learning Sciences, Cognitive Science, or a closely related field. Evidence of success in promoting an environment that advances access, equity, and inclusion. Job
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County schools are highly rated and offer a variety of programs including magnet schools and an international baccalaureate program. Learn more about what Gainesville has to offer at Visit Gainesville
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integrated circuits (IC) and printed circuit boards (PCB). Additionally, the candidate should demonstrate expertise in applying computer vision, image analysis techniques, machine learning, deep learning to IC
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)-statistics, (applied) mathematics, or a related STEM field. Prior working experience with EHR data, machine learning, NLP, bioinformatics, and large language models (LLM) is preferred. In particular