Sort by
Refine Your Search
-
tools. He/she will use various model systems to test for drug responses and determine mechanisms of resistance to drugs, including novel immunotherapies. He/she will be part of a multi-disciplinary team
-
accessing resources across campus Conduct CSAR office tours as needed Act as a role model of positive behavior, representing the CSAR with pride and respect Office duties Track event attendance Update events
-
accessing resources across campus Conduct CSAR office tours as needed Act as a role model of positive behavior, representing the CSAR with pride and respect Office duties Track event attendance Update events
-
. · Experience in DevOps and GitOps models with infra-as-code, config-as-code, policy-as-code, etc. · Proficient in translating designs into fully developed Terraform code. · Strong knowledge of AWS Cloud
-
applications in scientific discovery, biomedical computing, computational medicine, and data-driven modeling. A major goal of this strategic expansion is to foster interdisciplinary partnerships across
-
educational models. Oversees weekly student feedback and manages assessment of clinical shift performance for all students. Works collaboratively with Course Program Director(s) and Manager to develop and grow
-
including CRISPR/Cas9 and other genome editing tools. He/she will use various model systems to test for drug responses and determine mechanisms of resistance to drugs, including novel immunotherapies. He/she
-
Lab Technician to support ongoing projects. The lab is focused on understanding the cellular and circuit basis of retinal visual processing. We use animal models, viral vectors, electrophysiology, in
-
within a multi-disciplinary research environment. This position is a perfect fit for individuals with a background in research. Still, they love to write code, thrive in an environment of cutting-edge
-
to destroy cancer without causing immune-mediated toxicities (such as diabetes, colitis and thyroid disorders). This is a collaborative research effort using unique preclinical mouse models and interrogating