Sort by
Refine Your Search
-
decision science, mathematical modeling, and machine learning. They will work with Dr. Ryan Suk and will primarily be involved in the development/application of disease simulation models and/or machine
-
to lead cutting-edge research, with the potential to impact one or more areas of biomedical science. In partnership with Children’s Healthcare of Atlanta, faculty appointments will be primary in
-
or qualifications: A PhD in Psychology, Cognitive Science, Computer Science, or a related field The ideal candidate would have some combination of: experience with computational modeling or advanced quantitative
-
structural biology, protein chemistry, biochemistry, and molecular biology. Candidate will conduct the structural and mechanistic analysis of HIV-1 proteins complexed with drugs and substrates. PhDs with 0-3
-
promising publication record in cognitive science, neuroscience, computer science, psychology, or related field. Strong functional neuroimaging background and/or computer programming skills (e.g. MATLAB and
-
and the genomic characterization of hematologic disorders using single-cell technology. The Woo lab is an integral part of the highly collaborative and interdisciplinary translational research program
-
to integrate in a collaborative manner with other team members to conduct multi-disciplinary research. Qualified applicants will have completed a PhD in immunology, cancer biology, genetics or related fields
-
culture facility and dedicated areas for research in biochemistry, immunology, and molecular biology. The Department of Gynecology and Obstetrics: For more than 75 years, the Department of Gynecology and
-
skills. The ability to work effectively and collegially with colleagues. Additional qualifications as specified by the Principal Investigator. PREFERRED QUALIFICATIONS: Ph.D. in molecular biology or other
-
a relevant scientific field including molecular biology, synthetic biology, developmental biology and/or bioengineering. Experience in functional genomics (e.g. single cell multi-omics, spatial