44 programming-"https:"-"FEMTO-ST"-"https:" Postdoctoral positions at Oak Ridge National Laboratory
Sort by
Refine Your Search
-
Program (DOE IP) to advance the chemical processing of unique f-element isotopes, including Cf-252, Bk-249, Es-254, Fm-257, and Pm-147. A core focus of the DOE IP is to improve and develop novel chemical
-
scientific papers in key journals and present at key meetings. Ensure compliance with environment, safety, health, and quality program requirements. Maintain a strong commitment to the implementation and
-
, health, and quality program requirements. Maintain a strong commitment to the implementation and perpetuation of values and ethics. Deliver ORNL’s mission by aligning behaviors, priorities, and
-
degree in physics or related discipline completed within the last five years. Preferred Qualifications: Experience with modern programming languages, particularly Python. Demonstrated ability
-
(or expected soon) Demonstrated experience in hydrologic or land surface modeling. Experience in applying AI/ML techniques to hydrologic or Earth sciences. Proficiency in scientific programming languages such as
-
challenges facing the nation. ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee
-
purification of electrode or electrolyte systems and evaluation of their battery performance. The program will have a strong collaborative component with characterization (e.g. electron microscopy
-
research findings at conferences, program reviews, and technical meetings Ensure compliance with environmental, safety, health, and quality program requirements Deliver ORNL’s mission by aligning behaviors
-
, XGBoost, LSTM, clustering techniques, etc.) to solve hydrology and water resources research problems. Scripting and programming skills, with strong knowledge of at least one of the following languages
-
. Demonstrated experience developing and running computational tools for high-performance computing environment, including distributed parallelism for GPUs. Demonstrated experience in common scientific programming