-
Basic Qualifications: A Ph.D. in computer science, applied mathematics, plant biology, or related fields. Applicants cannot have received the most recent degree more than five years prior to the date
-
engineering, applied mathematics, physics, or related field with an evidence of understanding nuclear nonproliferation and/or the nuclear fuel cycle. Experience applying machine learning techniques to problems
-
matter experts, and geographers to deliver prototypes. Basic Requirements: Requires a Ph.D. in electrical and computer engineering, computer science, applied mathematics or related area, completed within
-
development of basic numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part of the Mathematics in Computation (MiC) Section
-
Requisition Id 12863 Overview: We are seeking a Postdoctoral Research Associate who will focus on first-principles theoretical/computational modeling of topological quantum materials. This position will be funded by the Quantum Science Center, a consortium of universities, national laboratories...
-
). Knowledge of and experience with numerical analysis and applied mathematics, including optimization, statistics, and solution of inverse problems. Diverse experience in many application areas such as nuclear
-
) is seeking several qualified applicants for postdoctoral positions related to numerical methods for kinetic equations. Mathematical topics of interest include high-dimensional approximation, closure
-
mathematic skills and knowledge of graph or complex network theory. Understanding of power systems operation and control framework. Excellent written and oral communication skills Motivated self-starter with
-
Requisition Id 12679 Overview: We are seeking a Postdoctoral Research Associate who will support the Diffraction group in the Neutron Scattering Division, Neutron Sciences Directorate at Oak Ridge National Laboratory (ORNL). The Postdoctoral Research Associate will work in synthesis, processing,...
-
Qualifications: A PhD in Condensed Matter Physics, Material Sciences, Chemistry, Applied Mathematics or a related field completed within the last 5 years Basic understanding of parallel application development