Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
DESCRIPTION The C-AD Accelerator Division has an opening for a Postdoctoral Research Associate who will use precision simulations and machine learning to improve the beam quality and accelerator performance
-
collaboration with theorists, machine learning experts, and other experimentalists. Essential Duties and Responsibilities: Single crystal growth of quantum materials Performing transport and electron microscopy
-
operation of particle or nuclear physics detectors Experience in applying machine learning to scientific problems Experience in distributed computing, workflow management and/or data management software
-
addition, the Group also develops novel detection techniques including machine learning to improve radiation detection and nuclear security and safeguards. Position Description The Radiation Detection and
-
analysis of atmospheric numerical model output (e.g., WRF, PALM, SAM) Experience with machine learning and artificial intelligence techniques Experience with predictive modeling Environmental, Health
-
that incorporate latest machine-learning algorithms). Furthermore, the successful candidate will collaborate broadly with the other members of IO and CFN, leveraging their expertise in design and fabrication
-
artificial intelligence (AI) and machine learning (ML) methodologies and interested in advancing these tools for accelerating the analysis of the big data acquired by electron microscopy. • You work
-
, enhanced by machine-learning and data-driven analysis techniques. Additionally, the study will encompass electrically triggered events that mimic the voltage-based signaling of biological synapses
-
, and Abilities: Experience in NGS library preparation and data analyses. Bioinformatic/programming skills (MatLab, Python, R, etc). Experience in application of Artificial Intelligence/Machine Learning
-
control under high inverter-based resources (IBRs). • Develop and apply artificial intelligence (AI)/machine learning (ML) techniques for power system planning, operation, control, and cybersecurity