60 evolutionary-algorithm Postdoctoral positions in computer-science in United States
Sort by
Refine Your Search
-
Employer
- University of Washington
- Oak Ridge National Laboratory
- Yale University
- Carnegie Mellon University
- Pennsylvania State University
- Baylor College of Medicine
- Boston University
- Harvard University
- Lehigh University
- Massachusetts Institute of Technology
- National Energy Technology Laboratory (NETL)
- New York University
- Northeastern University
- Rutgers University
- Stony Brook University
- Texas A&m Engineering
- University of Maryland, Baltimore
- Argonne
- Brookhaven National Laboratory
- California Institute of Technology
- Cornell University
- Lawrence Berkeley National Laboratory
- Memorial Sloan Kettering Cancer Center
- Rochester Institute of Technology
- The University of Arizona
- University of Arkansas
- University of California, Los Angeles
- University of Florida
- University of Illinois at Chicago
- University of Miami
- University of Oregon
- University of Virginia
- Villanova University
- Zintellect
- 24 more »
- « less
-
Field
-
the supervision of Dr. Jun Xu Develop high-quality models, algorithms, experiments, or integrated modeling-characterization frameworks Publish first-author papers in leading peer-reviewed journals Contribute
-
algorithm design skills Expertise on ML tools for chemistry, in particular, generative AI Experience with Python, ML, and AI for chemical applications Job Description: A Post-doctoral Associate in Theoretical
-
). - Quantum algorithm design. - Error correction or error mitigation. Certifications/Licenses Required Knowledge, Skills, and Abilities Strong background in quantum chemistry, computational physics
-
Postdoctoral Scholar to support the Center's mission to develop and exploit novel sensing technologies and the algorithms to analyze their signals for monitoring geohazards. Reporting to the Center Director and
-
help develop new computational models that integrate molecular reaction networks with AI/ML algorithms in order to predict patient-specific cardiac remodeling and heart disease outcomes across human
-
and efficiency of life sciences research. Developing the algorithms, infrastructure, and governance necessary for such analysis can simultaneously enhance hypothesis generation, computational modeling
-
expected to actively contribute to the project, work collaboratively as part of the research team, and perform the following major tasks: Conduct theoretical analysis, algorithm development, and simulation
-
. Developing the algorithms, infrastructure, and governance necessary for such analysis can simultaneously enhance hypothesis generation, computational modeling, and post hoc support for laboratory studies and
-
-seq, single-cell RNA-seq, and spatial data) and experience in multi-omics data integration. Has the ability to develop algorithms and code for innovative multi-omics data analysis. Baylor College
-
genuine intellectual exchange, direct technical engagement in algorithm and model development, and shared co-ownership of the science. • Active Collaboration. The PI maintains an open-door policy, meets