Sort by
Refine Your Search
-
Tata lab in the Department of Cell Biology, Duke University School of Medicine seeks a full-time Postdoctoral Associate to study cellular plasticity mechanisms in lung injury repair and tumorigenesis. We
-
specification that accompanied a major life history transition. We are looking for someone with experience in evolutionary developmental biology and strong computational skills, ideally with experience in
-
of physical activity on energy expenditure, energy balance, and health outcomes. These two positions are: Non-Human Primate Activity & Physiology: This postdoc will work as part of a team investigating social
-
of the approaches we use, that’s just fine! Our lab is a training environment; we are primarily interested in recruiting people who love science and are willing to put in the work to achieve their goals. DEFINITION
-
responsive to lab agendas/goals in a timely manner. This Postdoc appointment allows for many technical, analytical, and professional career development opportunities to collaborate. The candidate will have
-
, United States of America [map ] Subject Areas: Chemistry / Bioinformatics , Chemical biology , Computational Appl Deadline: 2025/10/29 11:59PM ** Position Description: Apply Today is the last day you can apply for
-
responses. Qualifications: A doctoral degree in a relevant field is required, preferably a quantitative field such as epidemiology, bioinformatics, statistics, computer science or engineering. The ideal
-
% to supervising and assisting PhD students. Qualifications • Candidates with a Ph.D. in any area of cognitive neuroscience broadly defined (e.g., Psychology, Neuroscience, Computer Science, or a related field) are
-
Duke University, Department of Chemistry Position ID: Duke-Department of Chemistry-JH_PSD2_2025 [#31364] Position Title: Position Type: Postdoctoral Position Location: Durham, North Carolina 27708
-
. This computational immunobiology postdoctoral position is appropriate for a candidate who is enthusiastic and willing to undertake multiple molecular biology and computational approaches to evaluate host immunity