58 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "Dr" "UCL" "UCL" Postdoctoral positions at Oak Ridge National Laboratory in United States
Sort by
Refine Your Search
-
with potential for extension. For questions about this position, please contact Dr. Nicholas Evans at nhe@ornl.gov . Benefits at ORNL: We offer competitive pay and benefits programs to attract and retain
-
assess responses of environmental systems at the environment-human interface and the consequences of alternative energy and environmental strategies. Please contact Dr. Scott Painter (paintersl@ornl.gov
-
networks and beyond) and quantum physics Familiar with programming languages and scientific computing Preferred Qualifications: Experience working with low-rank linear algebraic approximation methods
-
expertise with Python-based programming for instrument control, image analysis or spectroscopy Preferred Qualifications: Experience with transmission electron microscopy Familiarity with application
-
Requisition Id 16166 Overview: The Programming Systems Group at ORNL seeks a forward‑leaning Postdoctoral Researcher to advance research at the nexus of Agentic AI, high‑productivity programming
-
with environment, safety, health and quality program requirements Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety
-
within the last 5 years. Programming experience including the use of one or more of C/C++, Python, Fortran, Git, and CMake. Writing and communication skills and the ability to publish. Preferred
-
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
-
Qualifications: Ph.D. (within 0–5 years) in computational bioscience, computational biophysics, computer science, or a related field Strong programming skills in C++, Python, or similar scientific computing
-
environments. Experience with parallel computing environments, HPC in a Linux environment. Experience with surrogate modeling. Experience with data analytics techniques. Familiarity with C++ and GPU programming