Sort by
Refine Your Search
-
Employer
- Harvard University
- University of North Carolina at Charlotte
- Cornell University
- Indiana University
- University of Colorado
- Lawrence Berkeley National Laboratory
- Montana State University
- Northeastern University
- University of California
- University of California, San Diego
- University of Denver
- University of North Carolina at Chapel Hill
- University of Rhode Island
- Weill Cornell Medicine
- 4 more »
- « less
-
Field
-
within the Division of Artificial Medical Intelligence of Department of Ophthalmology in the University of Colorado School of Medicine. We focus broadly on quantitative and machine learning techniques in
-
knowledge-grounded reasoning with flexible machine learning Tools that reduce manual burden while preserving traceability and clinical interpretability This position offers the opportunity to publish novel
-
practice in one or more of the following areas: film, media, or live performance. Interdisciplinary expertise and teaching are desirable. We would like to recruit a postdoc whose work crosses the boundaries
-
science, machine learning, AI, or any computational science discipline of interest to the Computing Sciences Area and Berkeley Lab. Fellows apply advances in these fields to computational modeling
-
analyzing hyperspectral data and developing machine learning models - Genetic or molecular lab experience - Bioinformatics, or statistical genetics experience - Excellent written and oral communication skills
-
infrastructure, with the state-of-the-art reinforcement learning and generative AI, to detect, prevent, and preemptively mitigate intelligent attacker vectors. Supportive Mentoring: The postdoc will be guided by
-
will be an integral part of the Women’s Activities in Armed Rebellion (WAAR) research project, funded by the UN’s Complex Risk Analytics Fund (CRAF’d). The postdoc will also be invited to engage with
-
University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 7 hours ago
background with evidence of both skills related to convex optimization, machine learning, stochastic gradient descent, and deep learning Demonstrated experience in developing, analyzing, and implementing
-
Details Title Postdoctoral Fellowships in Networking Support for Machine Learning School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position
-
Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL), particularly in Natural Language Processing (NLP) and Computer Vision (CV) Familiarity with genomic and bioinformatic databases