Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
-
Field
-
using artificial intelligence and machine learning? We are looking for a computational biology / bioinformatics scientist to mine, evaluate and analyze protein-protein interaction data on human membrane
-
leverage your Machine Learning (ML) expertise to expand our effort in ML predictions and their translational application to rational vaccine design. You will be instrumental in leading the development
-
Laboratory experience in a relevant field of science Strong attention to detail and ability to collaborate and work in team environment Good Computer skills including word processing, Excel, PowerPoint and
-
machine learning, for analysis of genomic and other data. Communicate findings and insights through data visualizations, presentations, and reports. Work closely with other computational and bench
-
, PET, ultrasound, and other methods. Physical/Mental Requirements Ability to work standing and/or sitting for multiple hours Ability to conduct computer work for multiple hours Non-Standard Work Schedule
-
such as predictive models, machine learning, probabilistic causal models, and unsupervised algorithms Create asset-specific HCP segments, maps, and prioritizations, across multiple dimensions including care
-
University of Virginia - Radiology Research Faculty | Charlottesville, Virginia | United States | 29 days ago
, including call coverage. While performing clinical service, the candidate will be expected to teach medical students, residents, and fellows as well as the technical, nursing and administrative support staff
-
and adopts best practices aimed at improving the efficiency and quality of clinical development; proficient with basic IT; efficiently using a computer and telecommunications (voice and video) Has a
-
meetings on machine learning, fMRI methods, and pain neuroscience. The NIH Clinical Center offers exceptional multidisciplinary research facilities including structural and functional MRI, MEG, PET, and TMS
-
. OR master's degree in engineering, Computer Science, Biochemistry, Biology, Pharmacology, Chemistry or a related field, with some relevant work experience Demonstration of excellent computer, verbal and written