Sort by
Refine Your Search
-
Listed
-
Field
-
specified by the Principal Investigator. Preferred Qualifications: PhD in Biochemistry or related field. Experience in working with RNA is preferred. Emory University is dedicated to providing equal
-
structure of RNA and RNA-protein complexes involved in translation regulation on the ribosome using biochemical, molecular biology and structural biology approaches. We seek applicants with a PhD in
-
colleagues. Additional qualifications as specified by the Principal Investigator. PREFERRED QUALIFICATIONS: Qualified candidates should have a PhD in at least one of the following fields: biomedical
-
, cancer biology, lipid metabolism, cancer therapeutics, drug developments and in vivo animal manipulations are required. Newly graduated PhD students are encouraged for the position. Helps design and
-
approaches. Required qualifications include an MD, PhD, MD/PhD, or equivalent degree in a biology-related discipline and a proven track record of scholarship, as evidenced through published work. Microscopy
-
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
-
and cardiovascular diseases. Working in a large team of 15 PhD students, several postdocs and research professors, this represents an opportunity to advance an academic career with strong mentorship and
-
at Emory (www.brainorganoidhub.com) and will have direct access to the organoid expertise & training. The applicants are expected to have a PhD degree (or a year away from defending to earn a PhD degree) in
-
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
-
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