354 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" Fellowship positions in United States
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Zintellect
- Harvard University
- University of Michigan
- City of Hope
- Nature Careers
- University of Texas at Austin
- Indiana University
- Carnegie Mellon University
- University of North Carolina at Charlotte
- Cornell University
- Central Michigan University
- Auburn University
- Cold Spring Harbor Laboratory
- Genentech
- Lawrence Berkeley National Laboratory
- Stony Brook University
- The California State University
- The University of Alabama
- Villanova University
- Belmont University
- Brown University
- Colgate University
- Missouri University of Science and Technology
- Office of Women's Health Grant Program (OWH GP)
- Open Society Foundations
- Princeton University
- Saint Louis University
- The University of Iowa
- Tulane University
- University of Colorado
- University of Maryland, Baltimore
- University of Miami
- Vanderbilt University
- American University
- Barnard College
- Boston University
- Bucknell University
- Cedars Sinai Medical Center
- Chippewa Valley Technical College
- Colorado State University
- Creighton University
- Duke University
- Embry-Riddle Aeronautical University
- George Mason University
- Marquette University
- National Renewable Energy Laboratory NREL
- Northeastern University
- Northwestern University
- Regeneron Pharmaceuticals, Inc.
- Rensselaer Polytechnic Institute
- SUNY
- Texas A&M University
- The Ohio State University
- The University of Memphis
- Tulsa Community College
- University of Florida
- University of Kansas Medical Center
- University of Kentucky
- University of Massachusetts
- University of Massachusetts Dartmouth
- University of Missouri
- University of North Carolina at Greensboro
- University of Pennsylvania
- University of Pittsburgh;
- University of Tennessee Medical Center at Knoxville
- University of Texas at Dallas
- University of Virginia
- Utah Valley University
- Virginia Tech
- Wayne State University
- Yeshiva University
- 61 more »
- « less
-
Field
-
in each crop area and learn basic agronomic, data collection, and plant breeding methodologies in trials and nurseries planted at the USDA-ARS. Learning Objectives: The project assignments will provide
-
successful candidate, you will: This project with Dr. Nagarajan Vaidehi involves developing and application of interpretable machine learning methods to uncover allosteric regulation of disordered regions in
-
of genes and proteins as regulators of physiological or immunological traits. Learning Objectives: Under the guidance of the mentor, the candidate will gain experience in and learn to utilize a functional
-
wide range of research, including quantum information and simulation, artificial Intelligence and machine Learning, and physics within and beyond the Standard Model at current and future colliders. The
-
instruments Ability to occasionally lift and move laboratory supplies or equipment weighing up to approximately 25 pounds Ability to work at a computer workstation for data analysis and manuscript preparation
-
. market access. The approach will include metagenomics and bioinformatics to understand genetic diversity of the pathogen. Learning Objectives: During this project, the participant will be involved in
-
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
-
presentations at regional and national conferences will be supported. Learning Objectives: Under the guidance of a mentor, specific learning objectives include: Conducting independent research aimed at developing
-
discipline or a related field - Strong demonstrated verbal and written communication skills Desired Qualifications* - Familiarity with manufacturing systems and processes - Experience with machine learning and
-
of design and fabrication of medical devices, 3D printing, microfluidics, mechanics of materials, biomaterials, blood-material interactions, computer aided design, and/or in vitro/in vivo evaluation