50 computational-physics-superconductor Postdoctoral positions at University of Florida
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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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fully funded postdoctoral associate position in bioinformatics and computational biology. This position will be jointly mentored by two investigators including, Dr. Li Chen (onsite) in the Department
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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 administered by RECs
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to work at the forefront of environmental remote sensing, leveraging unique datasets and advanced computational methods to address critical questions in land change science and fire ecology. The position is
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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
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Agricultural Experiment Station , the Florida Cooperative Extension Service , the College of Veterinary Medicine , the Florida Sea Grant program, and encompasses 16 on-campus academic departments and schools
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: PhD in Computer Science, Geographic Information Science, Data Engineering, or a related technical field. Job
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Classification Title: Post Doctoral Associate Job Description: The Department of Electrical and Computer Engineering is seeking candidate for a position at the level of Post-doctoral Associate
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symptoms across the healthcare system, by integrating neuroimaging, psychophysiology, and computational modeling. Our work spans from basic science to clinical/translational neuroscience with humans, and our
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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