49 computer-science-programming-languages-"UCL"-"UCL" Postdoctoral positions at University of Florida in United States
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Astronomy, Astrophysics, Physics, or Computer Science by the date of appointment. This position will be initially awarded for one year. UF is the state’s oldest, largest, and most comprehensive land grant
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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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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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Association (CPA) - approved graduate program in Clinical or Counseling Psychology, as well as completed an APA- or CPA-approved internship in a specialty area related to health and illness. Training
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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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. The department offers an epidemiology PhD, Master of Science, and concentration in the MPH program. It is also home to two National Institutes of Health Training grants (T32). Faculty members are strongly
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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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: Ph.D. in Geography, Geology, Oceanography, Coastal Engineering, Earth Science, Computer Science, or a closely related field Strong programming skills in Python (preferred), Matlab, or R Demonstrated
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, Environmental Science, Computer Science, or a closely related field Strong programming skills in Python or R Experience with machine learning and deep learning applied to geospatial data Demonstrated ability