Sort by
Refine Your Search
-
Listed
-
Employer
- University of Michigan
- Harvard University
- University of Michigan - Ann Arbor
- Northeastern University
- Indiana University
- Princeton University
- University of Cincinnati
- University of Maryland, Baltimore
- AbbVie
- Carnegie Mellon University
- Genentech
- Boston College
- Brookhaven Lab
- George Mason University
- Nature Careers
- Simons Foundation/Flatiron Institute
- University of California
- University of Michigan - Flint
- University of Texas Rio Grande Valley
- University of Texas at Austin
- 10 more »
- « less
-
Field
-
. The Digital and Computational Pathology Laboratory in PCS is seeking a talented and motivated postdoctoral fellow to develop cutting-edge methodologies in computer vision and AI to power whole slide image
-
and Intelligence (PLI) AI Lab research initiative. AI Postdoctoral Research Fellows will be part of the core PLI team, which includes top-tier faculty, research fellows, scientists, software engineers
-
molecular techniques in cultured cells, xenografts, and engineered mouse models • Working with conventional laboratory reagents, instrumentation, and molecular/tissue biology techniques. • Operating and
-
synaptic and cellular studies using patch-clamp electrophysiology, large-scale population recordings using 2-photon Ca2+ imaging in awake behaving mice, and advanced modeling + machine learning analyses
-
plasticity. We study questions at a variety of levels, Ranging from synaptic and cellular studies using patch-clamp electrophysiology, large-scale population recordings using 2-photon Ca2+ imaging in awake
-
, computer science, architecture, and engineering to develop scalable, data-informed solutions in sustainable design, construction, and energy management. The Cluster aims to modernize—and ultimately revolutionize
-
strategies that modulate the crosstalk between tumor and immune cells, and develop new image-based screening technologies to identify targets that mediate clinically-relevant cell-cell interactions
-
-picture challenges in science and technology innovation, and has aptitude for new scientific fields. Successful candidates also demonstrate excellent communication, teamwork, and scientific/technical
-
perturbation technology, AI/ML model development, or advanced molecular biology Experience in single-cell omics, spatial transcriptomics, and/or high-content imaging data analysis Demonstrated record
-
-Computer Interactions. Candidates with a background in Ubiquitous Computing, Computer Science, Computer Engineering, Computer Science, Electrical engineering or a related field with demonstrable experience