Sort by
Refine Your Search
-
and image analysis within the project, responsible for designing and iterating on machine learning architectures, managing training pipelines and datasets, and optimizing models for deployment across
-
do things, especially considering recent advancements in AI technology. The position will include developing radiomics and deep learning models from contrast-enhanced computed tomography images
-
are looking to hire a talented and team-oriented Modeler/Data Scientist I to lead modeling efforts related to population-level spread of infectious diseases, specifically tuberculosis. This Data Scientist
-
on each patient to facilitate the patient’s encounter. Use automated systems to expedite patient scheduling, pre-registration, check-in, and check-out. Schedule patients for laboratory tests, exams, and
-
scientific methods, often in conjunction, including qualitative data collection and analysis via semi-structured interviews, structural micro-econometric modeling and estimation, and statistical analysis
-
relevant experience in industry focused on designing and building state-of-the-art AI models, data science techniques and applications across diverse domains. The successful candidates will work at the
-
to train and test them - Research, evaluate, and document available AI tools and applications that are the best fit for public safety AI communications solutions - Document the AI dataset
-
includes optimizing photonic enhancement techniques for improving the optical scattering of single impurity particles. In this regard, surface engineering methods, theoretical modeling and optical microscopy
-
) to streamline file management and data workflows. Support activities to prepare AI-ready multimodal datasets. AI Model Development Develop AI models for EUS segmentation Develop MRI segmentation model(s) using
-
licensing for AI, text and data mining, and other emerging technologies. Required Qualifications Strong, demonstrated knowledge of existing and emerging models of scholarly communication, open access, authors