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multibeam sonar data, topographic information, and environmental variables with deep learning techniques. You will also contribute to refining digital elevation models (DEMs) and advancing flood hazard
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
/Mental Requirements Special Instructions For information on UNC Postdoctoral Benefits and Services click here Quick Link https://unc.peopleadmin.com/postings/310186 Posting Contact Information Department
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
, robustness, calibration, bias/fairness, and/or adversarial stress-testing. - Solid programming and ML/NLP engineering skills in Python and ideally modern deep-learning stacks (e.g., PyTorch/JAX, HuggingFace
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computational infrastructure which are critical for our research. The staff consists of 40 professors and associate professors, in addition to postdoctoral fellows, PhD students, researchers, technical- and
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are reviewed regularly and are subject to change. To apply, visit https://northeastern.wd1.myworkdayjobs.com/en-US/careers/job/Boston-MA-Main-Campus/Ironwood-Pharmaceuticals-Regulatory-Affairs-Postdoctoral
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are reviewed regularly and are subject to change. To apply, visit https://northeastern.wd1.myworkdayjobs.com/en-US/careers/job/Boston-MA-Main-Campus/Alnylam-Pharmaceuticals-Clinical-Science-Postdoctoral-Research
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. Learning Objectives: Develop deep expertise in the principles and practices of scientific and medical communications. Understand the strategic role of communications in product lifecycle management. Gain
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future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
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, residents, fellows, postdoctoral scholars, and academic staff. Reporting to the Associate Vice Provost for Academic Personnel and Faculty Development, the Program Operations Specialist will support the APF
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experimental design. Proficiency with machine vision and deep learning techniques, including image segmentation, landmark placement and metric learning, for the automation of phenotypic analysis of large image