Sort by
Refine Your Search
-
Listed
-
Employer
- Rutgers University
- New York University
- Argonne
- Stanford University
- Nature Careers
- University of North Carolina at Chapel Hill
- Yale University
- University of Minnesota
- Brookhaven Lab
- George Washington University
- Medical College of Wisconsin
- Northeastern University
- Oak Ridge National Laboratory
- Purdue University
- University of Florida
- University of Virginia
- Carnegie Mellon University
- Cornell University
- Duke University
- Fred Hutchinson Cancer Center
- Pennsylvania State University
- Rochester Institute of Technology
- The Ohio State University
- The University of Iowa
- University of Oregon
- Baylor University
- Georgetown University
- Georgia Southern University
- Illinois Institute of Technology
- Indiana University
- Michigan State University
- National Aeronautics and Space Administration (NASA)
- Stony Brook University
- Texas A&M AgriLife
- Texas A&M University
- Texas A&M University System
- The University of Arizona
- University of Central Florida
- University of Chicago
- University of Colorado
- University of Connecticut
- University of Maryland
- University of Massachusetts
- University of Miami
- University of Nebraska Medical Center
- University of Nevada Las Vegas
- University of St. Thomas
- University of Texas at Arlington
- University of Texas at Dallas
- University of Utah
- Virginia Tech
- Washington State University
- Weill Cornell Medicine
- 43 more »
- « less
-
Field
-
analysis methods, including quantitative structural analysis, network-based functional analysis, voxelwise cross-modality analyses, graph theoretic approaches, and machine-learning based applications
-
networks for cancer metabolism, which further plays an important role in the development of novel cancer therapeutics. The Lee lab research tools include mammalian cancer cell lines, 3D organoid, xenografted
-
networks for cancer metabolism, which further plays an important role in the development of novel cancer therapeutics. The Lee lab research tools include mammalian cancer cell lines, 3D organoid, xenografted
-
computer science knowledge. Preferred Knowledge, Skills, and Abilities: Practical experience developing novel AI/ML algorithms and models. Knowledge about hardware architectures, compilers, neural network
-
experience for publishing impactful papers. Assisting with grant application. Education Requirement: PhD and/or MD degree in Neuroscience, Computer Science, Electrical/Biomedical Engineering, Psychology
-
wide range of disciplines. Learn more about UNLV's postdoctoral scholars. MINIMUM QUALIFICATIONS This position requires a PhD Degree in Computer Science, Electrical Engineering, Environmental Engineering
-
reviews and environmental scans of pre-health training programs Author at least one peer reviewed publication Design and conduct program evaluation activities Develop community networks through the AFHE and
-
, the Helmholtz network provides a platform for the alumni of the Helmholtz Management Academy and Mentoring programme to come together and share their experiences of leadership, career development and lifelong
-
to network with a diverse group of stakeholders will also be available. The experience will focus on research advancements as well translation of research to practice to make a meaningful impact. Summary of
-
independent postdoctoral fellows with training and expertise in agent-based modeling, neural networks, social network analysis, machine learning, data analytics, computational economics, or computational social