340 assistant-professor-computer-science-data "https:" "https:" "https:" "https:" "Dr" "St" "St" positions at Oak Ridge National Laboratory
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
visit https://www.ornl.gov/directorate/isotopes for more information about ISED. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year
-
. Capability to follow and help develop testing and assembly procedures. Competence in reading and interpreting engineering component and assembly drawings. Solid foundation in mathematics, science, mechanical
-
, RGA’s, etc.). Proven communication skills. A customer service focus and the ability to work within changing situations to meet short deadlines. Demonstrated computer skills and proficiency with
-
home to more than 7,500 staff, an outstanding ecosystem of world-class user facilities, and an unparalleled breadth of expertise spanning neutron science, high-performance computing, materials and
-
workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in evolutionary biology, plant biology, genomics, bioinformatics, mathematics, statistics, computer
-
will involve designing beam dynamics experiments, measurement, simulation, and data analysis. This position resides in the Accelerator Physics Group in the Accelerator Science and Technology Section
-
economic benefits for the nation. Our partnerships with U.S. Department of Energy (DOE) laboratories, universities, and industry enable us to accelerate science and innovation. The Office of Research
-
– in how we treat one another, work together, and measure success. Basic Qualifications: A Ph.D. in computer science, computational science, data science, artificial intelligence, or related field
-
analysis necessary for simulating and understanding complex, multi-scale systems. The group is part of the Mathematics in Computation (MiC) Section of the Computer Science and Mathematics (CSM) Division. CSM
-
Postdoctoral Research Associate in the areas Artificial Intelligence (AI) for Integrated Hydrology Modeling. The successful candidate will have a strong background in computational science, data analysis, and