Sort by
Refine Your Search
-
Listed
-
Employer
- Harvard University
- Northeastern University
- AbbVie
- Colorado State University
- Zintellect
- University of California
- University of South Carolina
- University of Texas at Austin
- Lawrence Berkeley National Laboratory
- Nature Careers
- University of Idaho
- Auburn University
- Carnegie Mellon University
- City of Hope
- Genentech
- Indiana University
- University of Cincinnati
- University of Maryland, Baltimore
- University of Michigan
- University of North Carolina at Chapel Hill
- Columbia University
- GEORGETOWN UNIVERSITY
- Johns Hopkins University
- Marquette University
- Massachusetts Institute of Technology
- Oak Ridge National Laboratory
- Oklahoma State University
- SUNY
- SUNY University at Buffalo
- Saint Louis University
- Simons Foundation/Flatiron Institute
- The University of Arizona
- The University of Iowa
- Tufts University
- University of California Los Angeles
- University of California, Los Angeles
- University of Colorado
- University of Kansas Medical Center
- University of North Carolina at Greensboro
- University of Southern California
- University of Southern California (USC)
- University of Texas Rio Grande Valley
- University of Utah
- University of Washington
- 34 more »
- « less
-
Field
-
-writing skills. Our group leads and contributes to multi-institutional, registry-based, and clinical trial research investigating the optimal use, timing, and management of ECMO/ECLS in critical illness
-
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
-
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
-
integral equations Machine learning, especially the areas of optimization, learning theory, probabilistic modeling, deep learning, and high dimensional data analysis, as well as applications of scientific
-
for an ultra-high vacuum synchrotron end-station using CAD software. - Run, optimize, and document data acquisition codes (LabVIEW and Python) - Aid NIST staff in developing plans
-
: 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
-
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
-
variety of conditions that are not optimal growth conditions. The survival data of pathogens under these conditions (growth matrices + sub-optimal growth temperatures + antimicrobial stresses) will also be
-
to optimize soil NOx emissions and to understand the underlying environmental and human factors driving the flux variability. The position will report to Prof. Dien Wu (project lead) and is expected to meet