Sort by
Refine Your Search
-
planning, military service, illness or other life-changing events. Candidates must have received a PhD. in physics, materials science, or a related field within the last five years or will have completed all
-
finishing high-curvature X-ray mirrors. o Enhance the determinism (predictability) of the IBF process by leveraging artificial intelligence or machine learning (AI/ML). • Publish results in peer-reviewed
-
to apply for a postdoctoral research associate position in applied mathematics, scientific computing, and machine learning. This position offers a unique opportunity to conduct research in emerging
-
electron microscopy (TEM). In this position, you will be a member of the Electron Microscopy group and closely collaborate with the Computational group. You will learn and develop advanced machine-learning
-
to apply for a postdoctoral research associate position in applied mathematics, scientific computing, and machine learning. This position offers a unique opportunity to conduct research in emerging
-
signal processing and analysis Experience in applying machine learning to scientific problems Experience in heterogeneous computing (e.g. GPUs) OTHER INFORMATION: Please submit your resume/CV, research
-
of the Electron Microscopy group and closely collaborate with the Computational group. You will learn and develop advanced machine-learning algorithms for TEM image analysis with guidance from
-
publications or software) • Knowledge of machine-learning algorithms. OTHER INFORMATION: BNL policy requires that after obtaining a PhD, eligible candidates for research associate appointments may not exceed
-
techniques. Position 2 - Electronic structure simulation of complex electrocatalysts (metal/metal compound), kinetic modeling of electrochemical performances under reaction conditions and machine-learning
-
of electrical power systems. Perform research on power system dynamics and control under high inverter-based resources (IBRs). Develop and apply artificial intelligence (AI)/machine learning (ML) techniques