Sort by
Refine Your Search
-
Listed
-
Employer
- AbbVie
- Northeastern University
- Zintellect
- Harvard University
- Colorado State University
- Nature Careers
- University of Michigan
- City of Hope
- University of Texas at Austin
- Auburn University
- Carnegie Mellon University
- Dana-Farber Cancer Institute
- Genentech
- Indiana University
- Marquette University
- University of California
- University of Idaho
- University of Kansas Medical Center
- University of Maryland, Baltimore
- University of North Carolina at Chapel Hill
- University of South Carolina
- GEORGETOWN UNIVERSITY
- Georgetown University
- Johns Hopkins University
- Lawrence Berkeley National Laboratory
- Massachusetts Institute of Technology
- Oklahoma State University
- Rutgers University
- SUNY
- SUNY University at Buffalo
- Saint Louis University
- San Diego State University
- The University of Iowa
- Tufts University
- University of California Los Angeles
- University of San Francisco
- University of Texas Rio Grande Valley
- 27 more »
- « less
-
Field
-
Details Title Postdoctoral Fellow in Riemannian Optimization School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Position Description A postdoctoral position is
-
Details Title Postdoctoral Fellow in Riemannian Optimization School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Position Description A postdoctoral position is
-
record of or exceptional promise for research. The fellow will work with Prof. Sam Petti on developing methods for modeling, optimizing, and interpreting biological fitness landscapes. Successful
-
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
-
expected to execute across all aspects of medicinal chemistry. The candidate will be responsible for designing, synthesizing, and optimizing molecules targeting GPCRs (cannabinoid receptors; allosteric and
-
. 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
-
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
-
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