Sort by
Refine Your Search
-
Details Title Postdoctoral Fellow in Imaging Approaches to Measuring Brain Energetics School Faculty of Arts and Sciences Department/Area Human Evolutionary Biology Position Description We seek a
-
; · Responsible Conduct of Research. Engages in best practices for data management and reproducible research including use of commented code and R Markdown. Project Support (30%) · General Support. Assists with
-
; · Responsible Conduct of Research. Engages in best practices for data management and reproducible research including use of commented code and R Markdown. Project Support (30%) · General Support. Assists with
-
imaging at the single‑cell level. We welcome applications from recent PhD graduates interested in these or related areas, especially those with expertise in quantitative in-vivo and ex-vivo imaging
-
Additional Qualifications Prior experience working with animals, high resolution imaging, or computational biology are considered a plus. If visa sponsorship is needed, Harvard retains the discretion
-
) observations of black holes, with the goal of producing the highest resolution image to date of the black hole and its photon ring. The project is led by Michael Johnson (Principal Investigator, SAO) with Peter
-
independent research projects focused on the somatosensory system Conduct experiments in mice and rat models, including electrophysiology, live imaging, and behavioral studies Apply molecular biology techniques
-
, immune remodeling, and metabolic stress interact within intact tissue architecture. These insights are being leveraged to develop image-based and molecular biomarkers for early detection, risk
-
on the Black Hole Explorer (BHEX) mission which will conduct Space Very Long Baseline (VLBI) observations of black holes, with the goal of producing the highest resolution image to date of the black hole and its
-
Description This Post-Doctoral Fellow position is part of our broader efforts to transform how cancers are classified, diagnosed, and treated through multiplexed tissue imaging, spatial multi-omics, and AI