427 machine-learning-"https:"-"https:"-"https:"-"https:"-"UCL" Fellowship positions in United States
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Zintellect
- Harvard University
- Center for Drug Evaluation and Research (CDER)
- University of Michigan
- City of Hope
- Nature Careers
- Center for Biologics Evaluation and Research (CBER)
- Indiana University
- Carnegie Mellon University
- University of Texas at Austin
- Center for Devices and Radiological Health (CDRH)
- University of Maryland, Baltimore
- Cornell University
- Missouri University of Science and Technology
- Office of Women's Health Grant Program (OWH GP)
- University of California
- University of Kansas Medical Center
- Villanova University
- Auburn University
- The University of Alabama
- University of North Carolina at Charlotte
- American University
- Brandeis University
- Brown University
- Case Western Reserve University
- Cedars Sinai Medical Center
- Colgate University
- Duke University
- Emory University
- Lawrence Berkeley National Laboratory
- Northeastern University
- The California State University
- The University of Iowa
- Tulane University
- University of Virginia
- Vanderbilt University
- Yeshiva University
- Amgen
- Barnard College
- Belmont University
- Bucknell University
- Central Michigan University
- Chippewa Valley Technical College
- Cold Spring Harbor Laboratory
- Creighton University
- Ferris State University
- Florida Atlantic University
- George Mason University
- Marquette University
- National Renewable Energy Laboratory NREL
- Open Society Foundations
- Pennsylvania State University
- SUNY
- Saint Louis University
- The University of Memphis
- Tulsa Community College
- University of Colorado
- University of Denver
- University of Massachusetts Dartmouth
- University of Miami
- University of Pittsburgh;
- University of Tennessee Medical Center at Knoxville
- University of Texas at Dallas
- University of Vermont Medical Center
- Utah Valley University
- Virginia Tech
- Wayne State University
- 57 more »
- « less
-
Field
-
systems using computer vision, quantitative image analysis, deep learning methods for detection, diagnosis, and quantitative analysis of abnormalities with multimodal data, including clinical and
-
. transformer models). One focus of this work will be on B-cell receptor evolution. Experience in applications of modern machine learning methods as well as in biological data analysis are needed for the position
-
machine learning methods for computational materials physics and chemistry. Projects include: The aim is to develop generalized equivariant neural network models NequIP and Allegro for machine learned
-
Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | about 1 hour ago
such as CAR-T cells and develop novel strategies to improve safety and efficacy of T cell therapies. Learning Objectives: The overall learning experiences you will gain are as follows: Will learn to perform
-
to cell and gene therapy. Will learn to use advanced manufacturing tools and strategies to gain a deeper understanding of challenges associated with T cell-based immunotherapies (such as CAR-T cells). Will
-
areas. This fellowship places a strong emphasis on the application of machine learning, artificial intelligence, and bioinformatics to solve complex biological problems. Potential research activities may
-
. Develop skills in coupling crop and hydrology models at watershed scales. Gain experience validating models using large, multi-source datasets. Learn to apply high-performance computing and machine learning
-
generated quickly and regularly. Help develop machine learning techniques for feral swine abundance in data sparse environments. Collaborate with APHIS Wildlife Services (WS) to integrate data and model
-
to multidisciplinary research aimed at advancing military medicine. What will I be doing? This opportunity offers a hands-on learning experience within a collaborative research environment focused on combat casualty
-
development of transparent, closed-loop control system for individualized diuretic closing including the validation and advancement of machine-learning and control algorithms, building production-oriented