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integrate approaches across the two neuroimaging modalities. The project will examine how changes in brain representations during neurofeedback relate to changes in physiology and subjective emotional
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Position Details Position Details Job Title Bioinformatician Position Number 8151047 Work Modality Fully Remote Work Is this request for the creation of a new Position (or the modification
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intellectually stimulating environment to enable high quality work in strategic directions that are of significant impact to industry, science and technology. For more details, please view https://www.ntu.edu.sg
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equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience No experience required. Required License/Registration/Certification None Physical Requirements Lifting, pushing
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Python or C++ or Matlab) and scientific computing are essential; together with MR image processing skills. Experience in multi-modal MRI processing, MRI harmonisation and statistical analysis would be
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, fundamentals of forensic analysis, forensic anthropology, forensic botany, forensic chemistry, forensic molecular biology, forensic entomology, forensic photography, forensic toxicology, analysis of nonhuman
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experience in a postdoctoral position (or similar) conducting research in one or more of the following fields: machine condition monitoring and diagnostics, vibration analysis, signal processing, modal
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focus on distributed acoustic sensing on pre-existing telecom fiber networks, wavefield analysis, structural and geophysical interpretation, multi-modal data fusion, and lab-scale and field experiments
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of this project is to use modern multiomic spatial methods (in which our group has extensive expertise14) together with deep learning (for efficient representation and cross-modal learning) to discover the
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 20 hours ago
profiles, and biomass-related metrics. Prithvi-WxC will provide complementary representations of large-scale hydroclimatic conditions. Through masked-modality and cross-modal learning, the research will