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Job Description This search is being managed by Isaacson, Miller. For full consideration for this role, please apply at the Isaacson, Miller website at https://www.imsearch.com/open-searches
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supporting the academic endeavour from curriculum design to engaging in research/scholarship and providing a student enabling environment. Deep and broad experience in effective clinical teaching and learning
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at the interface of machine learning, statistics, and live-cell biology. The position is co-supervised by Prof. Olivier Pertz (Cell Biology) and Prof. David Ginsbourger (Statistics), and the student will be equally
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, are strongly encouraged to apply. Learn more about the ADM+S Centre here: https://www.youtube.com/watch?v=AkyZpYjxNBc To be successful for this position, you’ll have: A PhD in a relevant discipline area, such
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deep neural activity, using methods that combine physics (waves in complex media) and computational approaches. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8552-SYLGIG-011
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: Developing novel techniques to understand how information is processed within deep neural networks. Developing methods that achieve high accuracy while also being safe, interpretable, responsible, and reliable
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draws on its New York City location to provide a vibrant, creative community in which to learn. The college offers more than 45 majors and grants AAS, BFA, BS, MA, MFA, and MPS degrees, preparing students
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. Employees at St. Kate's feel a deep connection to the University's Mission and Vision, and they live their values at work. Benefits available to full-time employees include: Fourteen (14) paid holidays and
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for this position is $85,600 - $128,400 (Annual Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and
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findings. Respond to internal and external data requests of varying complexity in a timely fashion. Acquire and maintain a deep understanding of university data and how its integration and analysis can