347 machine-learning-"https:"-"https:"-"https:"-"https:" Fellowship positions in United States
Sort by
Refine Your Search
-
Listed
-
Employer
- Zintellect
- Harvard University
- University of Michigan
- City of Hope
- Nature Careers
- University of Texas at Austin
- Carnegie Mellon University
- Indiana University
- Lawrence Berkeley National Laboratory
- University of North Carolina at Charlotte
- Cold Spring Harbor Laboratory
- Cornell University
- University of California
- Auburn University
- Colorado State University
- Genentech
- Stony Brook University
- The California State University
- The University of Alabama
- Villanova University
- Belmont University
- Brown University
- Central Michigan University
- Colgate University
- Creighton University
- Drexel University
- George Mason University
- Missouri University of Science and Technology
- Open Society Foundations
- Princeton University
- Saint Louis University
- The Ohio State University
- The University of Iowa
- Tulane University
- University of Colorado
- University of Maryland, Baltimore
- American University
- Boston University
- Bucknell University
- Cedars Sinai Medical Center
- Chippewa Valley Technical College
- Embry-Riddle Aeronautical University
- Georgetown University
- Marquette University
- Northeastern University
- Northwestern University
- Regeneron Pharmaceuticals, Inc.
- Rensselaer Polytechnic Institute
- SUNY
- Simons Foundation;
- Texas A&M University
- The University of Memphis
- University of Florida
- University of Kansas Medical Center
- University of Kentucky
- University of Maryland
- University of Massachusetts
- University of Massachusetts Dartmouth
- University of Miami
- University of Missouri
- University of Pennsylvania
- University of Southern California
- University of Tennessee Medical Center at Knoxville
- University of Texas at Dallas
- University of Virginia
- Vanderbilt University
- Wayne State University
- Yeshiva University
- 58 more »
- « less
-
Field
-
microscopy systems that integrate machine learning, robotic control, and real-time data analysis to achieve autonomous imaging and interpretation of complex materials systems. The Fellow will design and
-
rewarding component of the fellowship. Learning Objectives: As part of the fellowship, the selected candidate will gain hands-on experience and develop expertise in key areas of plant breeding and genomics
-
mission is to help build America's airpower, by educating military and civilian Airmen to innovatively accomplish the Air Force's core missions, in support of joint operations, more effectively, efficiently
-
to learn. Interest in tumor metabolism and a strong desire to gain experience in bulk and spatial metabolomics. Solid bioinformatics skills, including familiarity with tools for analyzing omics datasets and
-
selection. This research is conducted in a collaborative environment within the lab and larger unit, so the participant will learn how to perform both independently in the field and as part of larger teams
-
of incorporating sensors, spectroscopy, imaging, and machine learning techniques into the postharvest processing workflows and/or pre-harvest evaluation of food quality and safety. The participant will have the
-
date to be determined. Basic Qualifications A PhD related to programming languages by the start date. Experience in machine learning and formal verification. Individuals with a demonstrated track record
-
: Research activities will be conducted in BSL-2+ laboratories. Learning Objectives: Under the guidance of a mentor, the participant will gain experience in: Animal studies: mouse and large animal inoculation
-
Postdoctoral Fellow - Materials Chemistry, Texas Materials Institute, Cockrell School of Engineering
or parallel reactors Collaborate with computational scientists to integrate machine-learning models for closed-loop materials discovery Collaborate with companion postdocs on functional materials
-
and sensor systems for remote maintenance and reliable fusion operations. Artificial Intelligence Developing advanced artificial intelligence/machine learning (AI/ML) solutions for fusion science and