- University of Utah (Salt Lake City, UT)
- …component. The successful candidate will perform research in the application of machine learning (ML) techniques to the finite element method ( FEM ) ... one a **1-year post-doctoral researcher** for interdisciplinary work spanning machine learning , applied mathematics, computer science, and...the opportunity to continue working with ARCTOS as a research scientist to further this and other… more
- Guardian Life (Charleston, WV)
- …manner. Innovation & Research + Stay current with advancements in machine learning (ML), artificial intelligence (AI), and industry trends to identify ... coming up with solutions to scale the Data Science team, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across… more
- Genentech (South San Francisco, CA)
- …disease states + **Design of Non-Coding Genome Edits** : Develop innovative machine learning approaches for designing precise non-coding genome edits, focusing ... We seek a highly motivated postdoctoral candidate with expertise in AI, machine learning , and computational biology. The successful applicant will leverage… more
- Capital One (New York, NY)
- …of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock ... in the world of data-driven decision-making.** **As a Data Scientist at Capital One, you'll be part of a...to reveal the insights hidden within data** + **Build statistical/ machine learning models to challenge "champion models"… more
- Texas A&M University System (Houston, TX)
- …Want This position involves designing and implementing advanced statistical and machine learning models, developing interactive visualizations, and supporting ... data infrastructure to inform research and applied projects. The Data Scientist ...and organizational skills. + Ability to train, validate, apply machine learning models to complex data sets.… more
- IBM (San Jose, CA)
- …between four Wnt proteins and the Wls membrane protein by using atomistic simulations and machine learning techniques. The goal is to use machine learning ... analyze the simulated trajectories and forecast differences in biological behavior. As a research scientist intern, you will work closely with an assigned mentor… more
- Stanford Health Care (Palo Alto, CA)
- …This group is designed to bring Artificial Intelligence (AI) and other emerging machine learning (ML) based innovations in data science into healthcare and ... designed to bring Artificial Intelligence (AI), predictive algorithms and other emerging machine learning (ML) based innovations in data science into healthcare… more
- Trexquant Investment (Stamford, CT)
- …with many data sets, we develop large sets of features and use various machine learning methods to discover trading signals and effectively combine them into ... economists and programmers to develop the next generation of machine learning strategies that can accurately predict...data sets and collaborating with the Data and Strategy Research team to build a diverse set of predictive… more
- Capital One (Mclean, VA)
- …of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock ... in the world of data-driven decision-making.** **As a Data Scientist at Capital One, you'll be part of a...Data Science team is at the forefront of enabling Machine Learning and Generative AI capabilities within… more
- Capital One (San Jose, CA)
- …of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock ... in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a...with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to… more