Sort by
Refine Your Search
-
Listed
-
Program
-
Field
-
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
-
experiences that developed or applied at least one of the following techniques to solve a problem related to the broad application areas as listed above: signal processing/time series analysis, machine learning
-
, learning science and technology, or related disciplines before the start date. Experiences in using large language models to build conversational AI to improve human learning and performance are preferred
-
, 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
-
recruiting for a post doctorate in the area of computer vision, image processing, machine learning, and signal processing applied to conduct high quality research with a particular focus on neuropsychiatric
-
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
-
the direction of the Principal Investigator. Opportunities to apply for independent funding will be available and encouraged. The initial appointment is for one year, with expected renewal if progress is
-
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
-
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
-
postdoctoral fellow. The lab mission is to understand when and why decision-making goes awry in depression and anxiety disorders and to develop potent and scalable interventions to improve it. We use carefully