Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
models Must be willing and able to pass a national criminal background check Preferred Qualifications: Prior experience in Immunology research, particularly T cell research Prior experience in tumor
-
model system. We are seeking creative neuroscientist or neural engineer with a background in motor control, systems neuroscience, imaging or related fields. Prior experience with any of the following is
-
, and studies of natural visual behaviors. In addition there is opportunity for advanced data analysis, development of computational pipelines, and cellular and circuit modeling. Applicants must be
-
) project, implements and performs CU’s data governance operating model, facilitates and supports the Data Governance Executive Council (DGEC), and supports CU-wide data stewardship councils. It supports
-
community-based substance use treatment program. The therapist will be delivering an evidenced-based family therapy model called MST. Multisystemic Therapy (MST) is an evidenced-based model with the largest
-
, and cellular and circuit modeling. Applicants will also support members of the lab conducting experiments by preparing reagents, preparing surgical tools, assisting in animal care, and conducting
-
the posting. Please ensure you check the “Job Specific Attachments” box next to each document on the “Required Documents” page of the application for the appropriate documents to be attached. Per the Colorado
-
to pass a national criminal background check. Must be willing to work as part of a team consisting of members of all backgrounds. Must be willing to work with mice, human cells, recombinant DNA, and
-
innovative approaches with human and animal models to study mechanisms of immunity to pathogens or cancer. How to Apply: Applicants should prepare a cover letter, curriculum vitae, a detailed research plan
-
team focused on understanding tumor initiation and therapeutic resistance using advanced molecular and cellular techniques. Our research integrates multi-omic approaches, organoid modeling, and metabolic