Sort by
Refine Your Search
-
Listed
-
Employer
- Stony Brook University
- Baylor College of Medicine
- Carnegie Mellon University
- Duke University
- Northeastern University
- Oak Ridge National Laboratory
- Texas A&M University
- University of Colorado
- Argonne
- East Carolina University
- Georgia State University
- Nature Careers
- New York University
- Stanford University
- The Ohio State University
- The University of Memphis
- University of Central Florida
- University of Houston
- University of Minnesota
- University of North Carolina at Chapel Hill
- University of Oklahoma
- University of Oregon
- Virginia Tech
- Zintellect
- 14 more »
- « less
-
Field
-
sparse-regression based techniques to derive interpretable and computationally efficient differential equation models from computationally intensive multi-cellular agent based models (ABMs) of Epstein–Barr
-
function independently to develop therapeutic agents against mutant p53 and other oncoproteins using artificial intelligence, monoclonal antibodies, and DNA vaccines. The positions offer a unique team-based
-
either or both agent-based modeling and social network analysis/network science. The ideal candidate should be able to program in C or C and have experience working with tera-bytes of data. Preference
-
approaches (e.g. ODE/PDE-Modelling, Agent Based Modelling) Experience in mathematical analysis of data-driven methods Solid experience in programming (R, Matlab, Python, etc.) Competence in working in inter
-
mouse models. * Experience with cell and molecular biology techniques including PCR, western blotting, flow cytometry, cell culture and immunohistochemistry assays. Position Summary: The successful
-
. ● Experience with mouse models. ● Experience with cell and molecular biology techniques including PCR, western blotting, flow cytometry, cell culture and immunohistochemistry assays. Position Summary
-
. ● Experience with mouse models. ● Experience with cell and molecular biology techniques including PCR, western blotting, flow cytometry, cell culture and immunohistochemistry assays. Position Summary
-
the possibility of yearly renewal subject to funding availability. Responsibilities • Design and implement deep learning architectures, AI agent pipelines, and computer vision algorithms to achieve project goals
-
Laboratory seeks a postdoctoral appointee to join a multidisciplinary team developing complex systems models, including agent-based models, and new algorithms and tools for machine learning and optimization
-
research in several areas. Learning activities will focus on: The development and characterization of animal models and/or microphysiological systems for viral agents. Emphasis is placed on determining