22 learning-"https:" "https:" "https:" "https:" "https:" "https:" "https:" Postdoctoral research jobs at Northeastern University in United States
Sort by
Refine Your Search
-
Physics or an adjacent field, such as Mathematics, completed by the start of the appointment Knowledge of High Energy Theory and Machine Learning, as usually acquired through a PhD in Physics or a related
-
About the Opportunity Job Summary: The Lopez Group at Northeastern University is seeking a postdoctoral researcher with experience in machine learning and organic chemistry to join a collaborative
-
Big Picture Learning Credential (IBPLC) as a rigorous, equitable pathway into college admissions. The project — a partnership between Northeastern, Big Picture Learning U.S. (BPL U.S.), Big Picture
-
-field deformation data using three-dimensional digital image correlation (DIC). On the numerical side, this involves building automated finite element and inverse-identification workflows that learn
-
native or intact mass spectrometry is not required but would be valuable should it exist. A willingness to learn advanced metabolomics and proteomics techniques to uncover cellular metabolic regulation
-
, global health, and artificial intelligence-assisted systems modeling. More information about the lab and its projects is available at https://gyorilab.github.io. About Khoury College We invite you to join
-
About the Opportunity Conduct research on machine learning, control theory, and synthetic biology. The work will combine tools from dynamical systems, control theory, and the theory of algorithms
-
) better than rate-based scores. We further hypothesize that these properties covary with genotype. This project aims to (1) assess and understand the potential structure of withdrawal, (2) acquire data from
-
opportunity to teach if desired. Position Type Research Additional Information: Northeastern University considers factors such as candidate work experience, education and skills when extending an offer
-
autonomous, closed-loop (“self-driving”) laboratory workflows. The role integrates catalyst synthesis, high-throughput reactor testing, and in situ/operando characterization with machine-learning and agentic