-
) Laboratory. The group develops clinically grounded artificial-intelligence and data-science methods to derive scalable digital biomarkers from echocardiography, cardiac computed tomography, electrocardiography
-
The Kleinstein and Yaari labs at Yale School of Medicine are seeking a highly motivated researcher to develop computational methods for multiomic immune profiling, with an emphasis on adaptive
-
team focused on healthy aging, brain health, dementia prevention, and precision wellness. The postdoctoral scholar will work closely with Miia Kivipelto, MD, PhD - Center director, Center faculty
-
Deadline Sep 01, 2027 at 11:59 PM Eastern Time Description The Kleinstein and Yaari labs at Yale School of Medicine are seeking a highly motivated researcher to develop computational methods for multiomic
-
sources (e.g., surveillance, programmatic, and commercial testing datasets) to develop implementation plans Mixed-methods research and intervention adaptation • Conduct qualitative data collection and
-
to manuscript preparation. Mentor trainees as opportunities arise and participate in a collaborative, supportive research environment. Required Qualifications PhD (or equivalent doctoral degree) in Neuroscience
-
, programmatic, and commercial testing datasets) to develop implementation plans Mixed-methods research and intervention adaptation • Conduct qualitative data collection and analysis (e.g
-
foundation in biology and deep interest in virology, immunology, and/or viral genomics and be scientifically rigorous, creative, and enthusiastic to develop new experimental methods. Experience in
-
. The successful applicant will have a background in causal methods and quantitative techniques. A PhD in in economics, public policy, public health, or related field is required. Highly desirable is demonstrated
-
Postdoctoral Fellows work across traditional disciplinary boundaries using experimental, computational, or theoretical methods to investigate human cognition and explore human potential. All admitted Fellows