Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Colorado
- Brookhaven Lab
- Medical College of Wisconsin
- Oak Ridge National Laboratory
- Villanova University
- Argonne
- Nature Careers
- Northeastern University
- Columbia University
- Harvard University
- The Ohio State University
- University of California Berkeley
- University of Delaware
- University of Michigan
- University of Washington
- Cedars Sinai Medical Center
- Cold Spring Harbor Laboratory
- George Washington University
- Indiana University
- Los Alamos National Laboratory
- Meta/Facebook
- Oregon State University
- Princeton University
- Purdue University
- SUNY University at Buffalo
- Stanford University
- Texas A&M University
- The University of Chicago
- The University of Iowa
- University of California Los Angeles
- University of California, San Diego
- University of California, San Francisco
- University of Cincinnati
- University of Massachusetts Boston
- University of North Carolina at Chapel Hill
- University of the Virgin Islands
- Washington University in St. Louis
- Wayne State University
- 28 more »
- « less
-
Field
-
research team and work on cutting-edge theoretical and observational aspects of binary and multiple stellar populations. In parallel, the applicant will teach an undergraduate core science course/lab to non
-
experience, or a Master's degree with 1 or more years of relevant work experience, or a PhD degree in computer science or a related field (e.g., engineering, applied mathematics, statistics). Good research
-
-of-the-art foundation models and large vision-language models. Experience in large-scale deep learning systems and/or large foundation model, and the ability to train models using GPU/TPU parallelization
-
Knowledge, Skills, and Abilities: Bachelor’s degree with five (5+) years or a Master's degree with three (3+) years or a PhD degree in computer science or a related field (e.g., engineering, applied
-
successful applicant will join Andrej Prsa’s research team and work on cutting-edge theoretical and observational aspects of binary and multiple stellar populations. In parallel, the applicant will teach
-
acquisition (DIA), data dependent acquisition (DDA), and parallel reaction monitoring (PRM) proteomics experiments to fit the specific experimental needs of stakeholder cancer researchers. Manage a wide variety
-
relevant work experience, or a PhD degree in computer science or a related field (e.g., engineering, applied mathematics, statistics). Good research experience and publication track record in ML and/or NLP
-
If you're ready to be a part of groundbreaking research, then we invite you to consider this exciting opportunity and apply today! Principal Investigator, Costas Anastassiou, PhD, is seeking a
-
employed by the Hh signaling pathway in regulating cell-cell interactions (I). In parallel, we are interested in developing novel reagents and experimental approaches combined with cutting-edge imaging