Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
in disease models, and clinical trials in rare and common genetic diseases. Department-Specific Responsibilities Under moderate supervision prepares routine and administrative tasks in support of
-
Qualifications Experience with machine learning and AI models. Ability to communicate clearly with colleagues, Data presentations Scientific publication experience Special Instructions Priority Application Review
-
resources into developing research programs, faculty, and facilities that will lead to better approaches to prevention, diagnosis, and treatment of cancer. The Preclinical Modeling and Therapeutics Core
-
in disease models, and clinical trials in rare and common genetic diseases. Assists in the conduct of clinical research studies or trials following established protocols and standard operating
-
of a strategic recruitment plan for an assigned territory by fostering awareness, promoting the institution, and supporting the university's academic program offerings. Recruitment area will primarily
-
2023, the department contributes to the understanding of numerous genetic conditions through the integration of basic research in genetic and genomic mechanisms, translational research in disease models
-
training for public child welfare employees. It provides BSW students with preparation for employment as a Family Case Manager; it allows DCS employees to enroll in the School's part-time MSW Program; and it
-
meetings related to online course design and development. Maintains currency with the leading edge of online course design and models of online course delivery. Collaborate with team members to create
-
the Program Director role in the future. · Clinical excellence and the ability to model professionalism and integrity. · A collaborative spirit and the ability to foster a supportive learning environment
-
and systems; basic sciences of intra- and intercellular communication, behavior, and control; Computational Modeling and Analysis: computational modeling of living systems; biomedical digital twins