Sort by
Refine Your Search
-
Listed
-
Employer
- Argonne
- Nature Careers
- University of Maryland, Baltimore
- Oak Ridge National Laboratory
- Baylor College of Medicine
- Pennsylvania State University
- The Ohio State University
- Stony Brook University
- Texas A&M University
- Texas A&M AgriLife
- Villanova University
- Virginia Tech
- Duke University
- Purdue University
- University of Miami
- National Aeronautics and Space Administration (NASA)
- North Carolina State University
- Saint Louis University
- University of Kansas
- University of Nevada, Reno
- University of New Hampshire – Main Campus
- Zintellect
- Cornell University
- Drexel University
- Emory University
- Iowa State University
- National Renewable Energy Laboratory NREL
- The University of Arizona
- Wayne State University
- Bilkent University
- Brookhaven National Laboratory
- Brown University
- Embry-Riddle Aeronautical University
- Fred Hutchinson Cancer Center
- Lawrence Berkeley National Laboratory
- Lehigh University
- Massachusetts Institute of Technology
- Michigan State University
- Rutgers University
- South Dakota Mines
- Stanford University
- University of California
- University of Delaware
- University of Denver
- University of Kentucky
- University of New Mexico
- University of North Carolina at Charlotte
- University of North Texas at Dallas
- University of Oregon
- University of Texas at Dallas
- 40 more »
- « less
-
Field
-
, and the Texas A&M AgriLife onion projects • Conduct whole genome structural and functional analysis in vegetable crops • Manage marker-assisted selection in vegetable crops and collect plant
-
structure and statistical mechanics codes, and data science tools would be highly desirable Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and
-
and unravel structure-function relationships. This position is suited for a highly energetic and self-driven researcher willing to work in highly collaborative teams. This position will involve a
-
data, identifying structural errors in the dataset, and for maintaining a record of all steps from data extraction to dataset assembly · Fitting of machine learning models · Development of instrumental
-
engineering to measure the structural and dynamic properties of individual biomolecules using spectroscopic techniques such as single-molecule Forster Resonance Energy Transfer (FRET) and cryogenic electron
-
critical thinking skills; intellectual curiosity. Able to structure and formulate solutions to complex problems. Highly motivated and detail oriented with the ability to work independently and in close
-
genetics. Genomic analyses: next generation sequencing - DNA and transcriptome, chromosomal microarrays, cell culture, qPCR, gene regulation assays, 3D chromatin structure. Prior experience in the area of
-
field. No experience required. Preferred Qualifications Ph.D. in Chemistry, Computational Sciences, Computational Biology, Structural Biology, Computer Science, Bioinformatics, Statistics, or related
-
structure, which includes accounting, purchasing, personnel, PI support, building management and three service centers. Our annual budget is $9.5 million, primarily from federal research and training grants
-
enzyme activities and conduct directed evolution, structure-guided protein engineering, and machine learning-guided protein engineering studies to improve enzyme and pathway function. The ability