Sort by
Refine Your Search
-
Listed
-
Employer
- AbbVie
- Northeastern University
- Zintellect
- Harvard University
- Colorado State University
- Nature Careers
- University of Michigan
- Carnegie Mellon University
- City of Hope
- University of South Carolina
- University of Texas at Austin
- Auburn University
- Dana-Farber Cancer Institute
- Genentech
- Indiana University
- Johns Hopkins University
- University of California
- University of Idaho
- University of Kansas Medical Center
- University of Maryland, Baltimore
- University of North Carolina at Chapel Hill
- GEORGETOWN UNIVERSITY
- Georgetown University
- Lawrence Berkeley National Laboratory
- Marquette University
- Massachusetts Institute of Technology
- Oak Ridge National Laboratory
- Oklahoma State University
- Rutgers University
- SUNY
- SUNY University at Buffalo
- Saint Louis University
- San Diego State University
- Simons Foundation/Flatiron Institute
- The University of Iowa
- Tufts University
- University of California Los Angeles
- University of Colorado
- University of San Francisco
- University of Texas Rio Grande Valley
- University of Washington
- 31 more »
- « less
-
Field
-
learning, mathematical analysis, mathematics of data, modeling & simulation, multiscale methods, numerical analysis, optimization, ordinary and partial differential equations, numerical solvers, quantum
-
. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with
-
environmental benefits by the increasing use of recycled asphalt binders in new pavements. Under the guidance of a mentor, the participant will participate in the development and optimization of chemical
-
development and optimization. The tumor microenvironment and mechanisms of immune evasion. Development of innovative technologies to enhance anti-tumor immune responses. The role of epigenetic and RNA
-
advancement. Key Responsibilities: · Design and conduct experiments involving gene editing technologies in renal systems. · Develop and optimize delivery strategies for genetic therapies
-
antimicrobial interventions. Develops, validates, and optimizes innovative food safety technologies and methods for farm to fork applications. Analyzes microbial responses to environmental stress and
-
challenges, including data analysis, hypothesis generation, and experimental design optimization. We seek a highly motivated postdoctoral candidate with expertise in AI, machine learning, and computational
-
reporting procedures for any incident or event that did affect or potentially could affect the project goals and workflow. Optimize protocols and improve methods currently employed. Coordinates work
-
: Follows NIH Postdoctoral guidelines and comprehensive benefits Start date: As soon as possible Core Responsibilities Develop and optimize protein purification protocols for key stress response factors
-
been extensively studied in game theory, reinforcement learning, and optimization, their full integration into modern AI systems (particularly in multi-agent deep learning and human-AI collaborative