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Field
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Vision and speech processing, multimodal signals processing and fusion; Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) with several years of practice; First-author
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understand cancer biology, identify diagnostic and prognostic biomarkers, and improve cancer therapy. Projects will involve the development of AI solutions, particularly by leveraging large language and vision
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computer vision methods such as optical flow or motion estimation Experience with geospatial data processing (NetCDF/CF, GeoTIFF, xarray, GDAL/rasterio) Experience with GPU computing or deep learning
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slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 1 hour ago
engineering or related fields. The ideal candidates will be rising sophomores or juniors with experience using Python or Artificial Intelligence (including Robotics, Computer Vision, Human Language Processing
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QUALIFICATIONS: • PhD in Electrical and Computer Engineering, Mechanical Engineering, Physics, or a closely related field. • Demonstrated expertise in MEMS/NEMS design and modeling, including finite element
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. In particular, he/she will be expected to :• Select and evaluate the most suitable approaches from the wide range of machine learning and computer vision methods available in the literature, with
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, candidates should have completed their doctorate no more than four years before the start of employment. For well-justified reasons (e.g., parental leave, military or civil service), this limit may be extended
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, artificial intelligence, computer vision, robotics, UAVs, etc. is a plus. Other preferred qualifications include: expertise in programming and coding (preferably using Python and C++) and GUI development
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to address "grand challenge" style problems in line with their research vision together with their faculty host. Postdoctoral positions supported by CBI provide remarkable opportunities to shape the next