32 computer-science-programming-languages-"St"-"ST" Postdoctoral positions at University of Florida
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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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dynamic and team-oriented research program. Successful candidates will work in a cutting-edge research environment with new state-of-the-art facilities. The laboratory has outstanding facilities for cell
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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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. Experience with statistical characterization of data, preferably within a Bayesian framework. Preferred Qualifications: Experience developing a (semi-)independent scientific research program on topics in
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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: 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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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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training. Our lab has access to top notch facilities, close interaction with leaders in Psychiatry, Neurology and Neurosurgery, workshops and training programs for building grant-writing and interviewing
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: PhD in Biology, Development, Molecular Biology, Genetics, Neuroscience, Evolutionary Biology or similar field
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Description: Conduct independent and collaborative research on microbial metabolism and genetics Utilize molecular biology, biochemistry, and omics approaches to study oral streptococci Analyze data, prepare