Sort by
Refine Your Search
-
Listed
-
Employer
- University of North Carolina at Chapel Hill
- Argonne
- Cornell University
- SUNY University at Buffalo
- Oak Ridge National Laboratory
- Stanford University
- Baylor College of Medicine
- University of Minnesota
- Duke University
- The Ohio State University
- University of Miami
- Nature Careers
- University of Kentucky
- Carnegie Mellon University
- National Renewable Energy Laboratory NREL
- Rutgers University
- Texas A&M University
- University at Buffalo
- University of Texas at Arlington
- Massachusetts Institute of Technology
- Texas A&M AgriLife
- University of Washington
- Villanova University
- Indiana University
- Iowa State University
- Lawrence Berkeley National Laboratory
- Montana State University
- New York University
- North Carolina A&T State University
- Saint Louis University
- The University of Arizona
- U.S. Department of Energy (DOE)
- University of California
- University of Colorado
- University of Delaware
- University of Maryland, Baltimore
- University of Nevada, Reno
- University of North Texas at Dallas
- University of Texas at Dallas
- Zintellect
- Bilkent University
- Brookhaven National Laboratory
- Center for Biologics Evaluation and Research (CBER)
- East Carolina University
- Emory University
- Georgia Institute of Technology
- Johns Hopkins University
- LIGO Laboratory
- Michigan State University
- National Aeronautics and Space Administration (NASA)
- Pennsylvania State University
- Princeton University
- Purdue University
- Rice University
- South Dakota Mines
- The University of Iowa
- University of Arkansas
- University of California Irvine
- University of California, Merced
- University of Central Florida
- University of Dayton
- University of Florida
- University of Idaho
- University of Kansas Medical Center
- University of Nebraska Medical Center
- University of Oregon
- University of St. Thomas
- University of Virginia
- Washington University in St. Louis
- 59 more »
- « less
-
Field
-
data analysis using next-generation sequencing platforms (e.g., whole-genome, whole-exome, long-read sequencing). Develops, optimizes, and applies computational or laboratory pipelines for genomic data
-
research backgrounds in game theory, mechanism design, artificial intelligence, machine learning, and optimization, broadly defined. Applicants working at the intersection of these areas, especially those
-
research and developing decision support systems. The candidate would also assist in writing python/R programming scripts to optimize processing time, making the current decision support systems more
-
, surrogate modeling of scientific processes, workflow automation and adaptive simulation pipelines, and performance analysis and optimization. The candidate will also contribute to and help originate research
-
North Carolina A&T State University | Greensboro, North Carolina | United States | about 4 hours ago
with the application of Algorithms, Artificial intelligence (AI), and Machine Learning (ML) methods to accelerate material discovery and design, optimizing manufacturing processes in nanoscience
-
characterize LNPs; optimize delivery to target cells; and evaluate therapeutic efficacy in relevant in vitro and in vivo models. Job Duties Works on projects under the direction of principal investigator (PI
-
and GPU-accelerated tools for circuit and system design optimization, addressing challenges in physical design, timing analysis, and large-scale hardware design automation. The researcher will
-
motivated Postdoctoral Researcher to join our Grid Planning and Analysis Center (GPAC). This position will focus on tackling critical optimization challenges in medium-term power system planning like
-
thermodynamic, kinetic, and transport phenomena. - Optimize the design and control of electrified processes to effectively manage the heterogeneous and dynamic feed compositions associated with non-traditional
-
associated with health, well-being, and behavioral outcomes across the lifespan. A particular emphasis of this position is on the evaluation and optimization of interventions implemented in real-world settings