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Initiatives in Forest Research (WIFORCE) program. The successful applicant will work on the development of bioacoustic monitoring methods using automated recording units (ARUs), deep learning methods, and
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 3 months ago
/m/x) in Deep Learning and Digital Pathology 102827 Full time 39 hrs./week Neuherberg near Munich Partial Home Office possible At Helmholtz Munich, we develop groundbreaking solutions for a healthier
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(Part Time) Posting Number req25576 Department School of Plant Sciences-Res Department Website Link https://spls.arizona.edu/ Location Tucson Campus Address 1657 E. Helen St., Tucson, AZ 85719 USA
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and 600 faculty and staff. The COO will also help shape and implement a comprehensive School-wide strategy for technology and information resources that advances teaching, learning, research, and
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this position, please contact Anu Khara, Manager, Learning Design and Innovation, anuradha.khara@utas.edu.au . Please visit https://www.utas.edu.au/jobs/applying for our guide to applying and details
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explainable multi-modal deep learning models, in causal statistical models and in human-machine teaming and AI ethics. The successful candidate will need to be eligible for UK security clearance in principle
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execution of the CAW’s multi-year action plan under the CAW director's guidance. The role requires a scholar-administrator with deep familiarity with aging and dementia research and experience managing
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and executive levels, all of them enriched by the dynamism and deep resources of one of the world's business capitals. NYU Stern is a welcoming community that inspires its members to embrace and lead
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portfolio of transformational programs at the graduate, undergraduate and executive levels, all of them enriched by the dynamism and deep resources of one of the world's business capitals. NYU Stern is a
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) Deep Learning AI. https://www.deeplearning.ai/ (opens in new window) CourseRA Gen AI https://www.coursera.org/ (opens in new window) McKinney, S.M. et al., “International evaluation of an AI system