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benefits package with medical, dental and vision insurance and a UC retirement plan. Salary is commensurate with the applicant’s qualifications and experience. Department: https://msi.ucsb.edu
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Underwater Vision Profiler or the ZooScan, as well as an increase number of software packages to process and control the quality of the data generated by the instruments, sort images taxonomically (https
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state and federal agencies. The appointment is for one year with the possibility of renewal based on performance. Key Responsibilities Lead research and development of a prototype community readiness
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 12 days ago
important reason why Carolina is one of the leading public research institutions in the country. UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage , paid leave, and benefits and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
important reason why Carolina is one of the leading public research institutions in the country. UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage , paid leave, and benefits and
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high-resolution exoplanet spectroscopy and/or imaging and spectroscopy of exoplanets, brown dwarfs, and young star clusters with the James Webb Space Telescope (JWST) are particularly encouraged to apply
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Deep Learning libraries (e.g., Pytorch, Tensorflow, Keras) will be considered a significant advantage; Previous experience in image processing and\or computer vision will be considered an advantage
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protected and open field cultivation systems Use lab and field equipment (ICP, HPLC, gas exchange analyzer, soil/root/plant sensors, chlorophyll fluorescence, etc.), data loggers and image processing tools
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application date. Documented pedagogical experience. Experience in image analysis and/or computer vision, especially in the context of medical imaging Development, implementation and validation of AI tools and
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The successful candidate will lead and contribute to research activities focused on nanoscale magnetism and spintronic materials, with a strong emphasis on advanced TEM-based magnetic imaging, data interpretation