Sort by
Refine Your Search
-
Program
-
Field
-
electron tomography data. Develop new data-driven methods that leverage physics-informed machine learning for reconstructing non-rigid deformations and generative modeling of conformational heterogeneity in
-
Machine Learning (ML) models and Python script or equivalent, as well as perform room temperature and cryogenic temperature electrical and mechanical measurements. What You Will Do: Perform mechanical
-
group analyzing deep soil warming experiments across the world. In this exciting role, you will apply mechanistic and machine learning models to study observed effects of warming on soil and ecosystem
-
and machine learning models to study observed effects of warming on soil and ecosystem carbon cycling and the mechanisms shaping the soil response, and to estimate potential soil carbon feedbacks with
-
The Nuclear Science Division (NSD) at Lawrence Berkeley National Laboratory has an opening for a Postdoctoral Researcher, with focus on the application of machine learning techniques to address
-
analysis, theory, and/or simulation of cosmology data sets; the design and development of state-of-the-art instrumentation; the application of Artificial Intelligence / Machine Learning to problems in