123 phd-studenship-in-computer-vision-and-machine-learning positions at Brookhaven Lab
Sort by
Refine Your Search
-
out R&D programs focused on Electro-Photonics, Quantum Information Science, Artificial Intelligence & Machine Learning, and Neuromorphic Processing that require ASICs with specific layouts
-
qualification evaluation: Experience with the Incident Command System. Knowledge of basic computer skills. Environmental, Health, and Safety Requirements: Medical/physical requirements : Successfully pass a pre
-
candidates should have a major in electrical engineering, computer science, or applied mathematics. A background in electric power systems modeling and simulation and data analytics and machine learning
-
Apply Now Job ID JR101408Date posted 09/13/2024 The AI and Machine Learning Department at Brookhaven National Laboratory (BNL) invites exceptional candidates to apply for a post-doctoral research
-
-based machine learning and natural language processing. Strong research experience (e.g., evidenced by publication record). Excellent programming and computer science skills. Security clearance
-
and relevant data analysis. • Demonstrated experience in Python programming. • Knowledge of machine-learning algorithms. Additional Information: BNL policy requires that after obtaining a PhD
-
a relevant field (business, computer technology, or database management) may offset qualifying experience, as would an associate’s degree (2:1 basis (college:experience). Must possess strong
-
. Effective time management skills. Basic computer skills and experience with using Microsoft Office products. Ability to drive a Kubota Demonstrated ability to independently perform duties. Preferred Skills
-
. The EIC will be a discovery machine for unlocking the secrets of the “glue” that binds the building blocks of visible matter in the universe. The machine design is based on the existing and highly optimized
-
safety training (30 or 40-hour certification). New York State Department of Health backflow testing license. Experience using a maintenance management system or CMMS program to issue and track work orders