180 machine-learning "https:" "https:" "https:" "https:" "https:" "Dana Farber Cancer Institute" positions at Oak Ridge National Laboratory
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
to commit to ORNL’s Research Code of Conduct. Our full code of conduct and a statement by the Lab Director’s office can be found here: https://www.ornl.gov/content/research-integrity Basic Qualifications
-
the following requirements: Contribute to and progressively lead Artificial Intelligence (AI) & Machine Learning (ML) engineering support on an ongoing basis as evidenced by, for example, innovative artifacts
-
Write software to support cutting edge research and facilitate Proof of Concept demonstrations Implement, evaluate, and enhance machine learning pipelines for cybersecurity applications Basic
-
Directorate. In this role, you will lead the development and application of physics-informed data science and machine learning approaches to support nuclear nonproliferation missions. The successful candidate
-
algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis and visualization technologies, programming systems and environments, and system science and
-
seeking a Geospatial Data Engineer to support research and operational workflows focused on scalable geospatial data science, applied machine learning, and production-grade engineering practices to deliver
-
Requisition Id 15885 Overview: We are seeking a Postdoctoral Research Associate – Simulation and Machine Learning for Composite Manufacturing who will focus on developing physics-based simulation
-
strengths in any of these areas — quantitative imaging, modeling/transport science, machine learning, or scientific programming — are encouraged to apply. Major Duties/Responsibilities: Lead energy‑storage
-
limited supervision, operate a variety of machine tools to inspect, calibrate, or produce precision parts and instruments. You will be responsible for applying knowledge of mechanics, mathematics, metal
-
). Experience with stereo imagery, LIDAR, and other 3D sensing capabilities. Proficient in a Linux OS environment. Familiarity with the basics of machine learning and high-performance computing (HPC). Experience