26 assistant-professor-computer-science-data "https:" "https:" Postdoctoral positions at University of Florida
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observational/computational time-domain astrophysics, including supernovae, gravitational-wave events, fast radio bursts, and tidal disruption events, to work with Dr. Daichi Hiramatsu in the Department
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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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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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of participants. Ensuring all materials and equipment are available and ready for testing. Testing participants in relevant protocols. Training and supervising student assistants in the data collection and scoring
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undergraduate students. Assists with the writing of funding proposals. Job Description: The University of Florida's Department of Geological Sciences invites applications for a highly motivated, results-oriented
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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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computer science using data-driven techniques (graph theory, ICA, machine learning), in other imaging modalities (DTI; MEG), and in multimodal integration will be relevant. Experience with AFNI/SUMA, SPM, FSL
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. Assisting with video fluoroscopy swallow studies and related analyses of swallow coordination. Preparing tissue for and performing histology, immunohistochemistry, and RNAscope to examine neural circuit
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: The candidate must have a Ph.D. (or MD/PhD) in biological sciences such as molecular biology, cell biology, cancer
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such as Simcyp, PK-Sim, or similar tools Strong quantitative and computational skills, including proficiency in R Demonstrated ability to analyze and interpret pharmacokinetic data Strong written and verbal