Sort by
Refine Your Search
- 
                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
 - 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 Iowa
 - Tufts University
 - University of California Los Angeles
 - University of California, Los Angeles
 - University of Colorado
 - University of Kansas Medical Center
 - University of Southern California
 - University of Southern California (USC)
 - University of Texas Rio Grande Valley
 - University of Utah
 - University of Washington
 - 31 more »
 - « less
 
 - 
                Field
 
- 
                
                
                
the last three years. Solid experience with AI/machine learning methodologies, particularly those applicable to network optimization. Proven ability in programming and familiarity with network simulation
 - 
                
                
                
characterization, and functional properties of milk proteins and peptides. Our primary research goal is to understand their impact on human health. Our current projects involve developing and optimizing methods
 - 
                
                
                
OpenFOAM. Validate the developed code and perform code optimization and parallelization. Mentor graduate and undergraduate students in their research Assist the lab director in grant proposals. Write journal
 - 
                
                
                
: Development, performance analysis and optimization of end-to-end science workflows, including those originating at DOE facilities. Deployment of capabilities such as AI training and inference at scale, and
 - 
                
                
                
tumors using high-throughput sequencing technologies. Develop, optimize, and manage bioinformatics pipelines for processing and analyzing large-scale sequencing data (e.g., whole exome sequencing, RNA
 - 
                
                
                
Stimulated Raman Spectroscopy (PARS) method. Research tasks will include design, development and optimization of the full PARS system including a Raman cell pumping scheme, a photoacoustic cavity, and an
 - 
                
                
                
types of disease and recommending optimal treatments for patients. The position will be supervised by Research Professors and will be conducted with experimental researchers who are collaborating partners
 - 
                
                
                
. 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
 - 
                
                
                
?s success. Job Overview The P&G Digital Accelerator@UC is seeking a Postdoctoral Research Fellow in Biochemistry/Molecular Biology to help drive Product and Process innovation through the optimization
 - 
                
                
                
developmental challenges faced by children, families, and our aging population and to promote optimal development and opportunities for all. Postdoctoral fellows have the chance to participate in research