Sort by
Refine Your Search
-
Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use machine learning (ML) along with data from previously solved problem
-
Mathematics with specialization in core AI/ML algorithms, optimization, or computational learning theory. For information on certificates and diplomas issued abroad, please see Degree equivalency Experience
-
on NLR’s HPC Collaborate with NLR researchers to assess tradeoffs between model detail and computational time Process and visualize results to inform algorithmic design Author, present and assist in
-
environments Design and implement reinforcement learning algorithms for control and manipulation, first in simulation and later on real experimental setups Refine a real-time planning and execution architecture
-
Bayesian computational statistics, differentiable programming, and high-performance computing, the project aims to deliver robust, interpretable, and scalable methods for metabolic flux analysis. You will
-
machine learning, deep learning, or AI. Solid mathematical, algorithmic, or physics background, distinct analytical skills. Very good programming (Python, C++) and computer (Linux, Windows) skills
-
enrolled as a full-time student in a bachelor’s degree program from an accredited institution. Post Undergraduate: Earned a bachelor’s degree within the past 12 months. Eligible for an internship period of