36 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at University of Florida
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Qualifications: PhD in experimental particle physics at the time of appointment. Preferred: Deep understanding of the particle detectors, particle identification, data analysis Machine learning experience is a
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healthy and tumor-bearing animals using machine learning and AI approaches; and (3) integration of PBPK and QSAR models with AI methods to develop AI-assisted computational approaches to support decision
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Interaction, Educational Technology, Learning Sciences, Cognitive Science, or a closely related field. Job Description: The University of Florida (UF) is accepting applications for a full-time OPS Postdoctoral
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including magnet schools and an international baccalaureate program. Learn more about what Gainesville has to offer at Visit Gainesville Expected Salary: The salary is competitive and commensurate with
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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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)-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
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: Requires a doctoral degree in relevant fields (e.g. neuroscience, biology, psychology, computer science). A pending
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technology platforms, strong computational support, and a friendly, collaborative, and interdisciplinary group of colleagues. Must have PhD in Chemistry with experience in catalysis or polymer chemistry. This
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and analysis pipeline to compute the 3 and 4 point correlation functions of Roman data. Must have PhD in astronomy or physics. This position will be initially awarded for one year, and, contingent upon
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, the Florida Sea Grant program, and encompasses 16 on-campus academic departments and schools, 12 Research and Educational Centers (REC) located throughout the state, 6 Research sites/demonstration units