Sort by
Refine Your Search
-
seeding. Identify cancer-derived genetic drivers in T cell-cancer cell interactions in the immune microenvironment. Develop novel single cell technologies to link cancer-stroma transcriptome within
-
dedicated to professional and career development. Preferred Qualifications: Ph.D. in Microbiology, Cell biology, Biochemistry or other related discipline. Extensive expertise in mammalian cell culture and
-
Position Summary The Meers Lab is seeking out a Postdoctoral Researcher to lead projects that advance single-cell and single-molecule epigenome profiling technology development in service
-
are dedicated to the development and application of innovative optical technologies aimed at understanding how social behavior is regulated in rodent brain. Our research targets psychiatric disorders such as
-
mentorship and sponsorship. Our laboratory focuses on immune regulation in hematopoietic stem cell transplantation and on developing novel platforms for cellular therapies. Hematopoietic stem cell
-
are expected to have experience with basic molecular/cell biology techniques, as well as with stem cell and/or animal models of disease. Postdocs in the Arnold lab will be encouraged to develop new technical
-
. • Check out participants scheduling next appointments, providing participant checks and bus/parking tickets. • Maintain database of all clinic participant payments and prepare departmental payment requests
-
interests, and we will help you develop an understanding of our core research and methodology. Our Researchers work with senior research leads and external collaborators and take part in the intellectual
-
at WashU School of Medicine in St. Louis. The Klechevsky lab is dedicated to understanding how dendritic cells and other myeloid cells influence the development of immunity and cancer. Our broad and
-
, to define novel biomarkers, and to identify novel therapeutical targets. We have pioneered in the integration of genetics with omic data to identify proteomic signatures and develop novel predictive models