98 machine-learning "https:" "https:" "https:" "https:" "The Open University" research jobs at Zintellect
Sort by
Refine Your Search
-
areas that support Sandia National Laboratories’ Research Foundations. For information about the Research Foundations, please visit https://www.sandia.gov/research/research-foundations/ . Sandia has as
-
organization. For more information about the 711th Human Performance Wing, please visit https://www.wpafb.af.mil/afrl/711hpw/ . About ORISE This program, administered by Oak Ridge Associated Universities (ORAU
-
mechanistic studies in nutrition health associations. https://www.ars.usda.gov/plains-area/college-station-texas-rafsru/responsive-agriculturalfood-systems-research-unit/ The research of the Responsive
-
. These include, but are not limited to: Writing proposals under guidance of senior scientist Learning all aspects of the drug development process from early discover through pre-clinical trials Performing
-
Raman imaging technologies for safety and quality evaluation of agricultural products. Learn artificial intelligence/machine learning methods to evaluate hyperspectral image data to assess safety and
-
the devastating disease avian coccidiosis. The secondary goal is to compare various Eimeria spp. to identify genes involved in intestinal cell specificity, virulence, and markers of drug resistance. Learning
-
tolerance for varietal selection. Learning Objectives: Participant will gain laboratory, field, and programming skills to develop the digital twin and other AI models using ground and above-ground sensors and
-
to the continent, and sub-daily to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including artificial intelligence (AI) and machine learning, to help
-
the use of workflow tools, development environments, and resources to contribute to and implement shared bioinformatic workflows. Experiences may extend into training on Machine Learning and AI models as
-
in each crop area and learn basic agronomic, data collection, and plant breeding methodologies in trials and nurseries planted at the USDA-ARS. Learning Objectives: The project assignments will provide