Sort by
Refine Your Search
-
Listed
-
Program
-
Field
-
countervailing immunoediting processes that seek to control and eradicate these cancers. This project specifically focuses on ovarian cancer, a difficult-to-treat and life-threatening cancer for which early
-
assays, and imaging or image-processing experience are preferred. Experience with whole blood or blood cells in microfluidic systems to study coagulation and vascular injury is preferred. Proficiency with
-
assays, and imaging or image-processing experience are preferred. Experience with whole blood or blood cells in microfluidic systems to study coagulation and vascular injury is preferred. Proficiency with
-
, including gene expression analyses, lineage tracing, live imaging, and CRISPR-mediated gene manipulation to probe molecular and cellular mechanisms driving the development of molluscan brains and body plans
-
work outside of his/her discipline to accomplish project goals. · Experience with flow cytometry, immunofluorescent imaging, confocal microscopy, ELISAs, and PCR. · Experience with microfluidics
-
mitochondrial transport using a combination of techniques including biochemistry, structural biology, functional genomics (CRISPR screens), metabolomics, imaging, and cell biology methods. Ultimately, the lab
-
Details Title Postdoctoral Fellow in On-Premise Computing for Autonomous Vehicles (Computer Architecture, Machine Learning and Runtime Systems) School Harvard John A. Paulson School of Engineering
-
-disciplinary team of researchers, including bioinformaticians, pathologists, oncologists, and computer scientists, and conduct original research on computational pathology. Digital pathology images contain rich
-
—energy management by building on and scaling the HouseZero ® concept—Harvard’s prototype for ultra-efficient, naturally ventilated smart buildings—into interconnected communities. This unique initiative
-
scientific activities, including tissue culture, live cell imaging, immunohistology staining, and flow cytometry analysis. They will receive training in surgical procedures, in vivo models, and data analysis