1,826 algorithm-development-"Prof"-"Washington-University-in-St" positions at Duke University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
- Medical Sciences
- Computer Science
- Economics
- Materials Science
- Business
- Biology
- Psychology
- Sports and Recreation
- Education
- Physics
- Engineering
- Science
- Environment
- Law
- Linguistics
- Humanities
- Mathematics
- Social Sciences
- Arts and Literature
- Chemistry
- Earth Sciences
- Electrical Engineering
- 12 more »
- « less
-
. The Postdoctoral Associate will apply his/her technical skills toward development and implementation of machine learning, computer vision, and other algorithms for analysis of medical images and prognostication as
-
at Duke The Deep Tech at Duke is a new initiative situated in the Sanford School of Public Policy at Duke University under the leadership of Prof. David Hoffman and Prof. Ronnie Chatterji. Deep Tech at Duke
-
applications for postdoctoral positions in the area of cosmology (experimental, observational and theoretical) and new techniques in statistical and image analysis. The cosmology group is composed of Profs. Arun
-
. Statistical Analysis, Modeling, and Analysis Planning (20% initially, increasing to 45% as the project progresses) Develop, draft, and implement analysis plans that outline statistical methodologies, algorithms
-
disruptions for new patients accessing Duke and have full understanding of the cancers, providers, scheduling guidelines and necessary records within disease group. Educate patients on cancer type, how cancer
-
clients. Job Duties • Perform a variety of routine and specialized procedures. • Prepare and initiate special tests and procedures including, but not limited to, cytogenetics, general laboratory
-
utilization of resources to optimize care Participates in developing guidelines, algorithms, and care pathways to improve the care and safety of patients Participates in efforts to maintain TJC accreditation
-
the Department of Biomedical Engineering at Duke University BIG IDEAs Lab’s overarching goal is to develop and test tools and infrastructure using biomedical and health data for early detection, intervention, and
-
” framework introduces evaluation checkpoints throughout the development lifecycle and after deployment to ensure that transparency, quality, and ownership are maintained for all algorithmic solutions. ABCDS
-
. Operations: Recognizes when typical agreements (MTAs, CDAs, DUAs, DTAs, etc.) are necessary and alerts appropriate parties. Prepares FDA regulatory submissions in collaboration with ORAQ, including development