285 parallel-and-distributed-computing-phd positions at University of Kansas Medical Center
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
on development of a geriatric oncology program and contributions to programs within KUCC, CSPOR, and LCOA. This can include development of a T32 training program. Successful candidates will have demonstrated
-
PhD in Clinical Psychology in an accredited program Must be able to practice and obtain permanent license in the State of Kansas as a licensed Psychologist Preferred Qualifications: Demonstrated
-
for scientific publications, and supervise graduate students. Job Description: Required Qualifications Education: PhD in Neuroscience, Computer Science, Bioengineering, Physiology or related fields. Preferred
-
). Assist with modifying computer scripts dedicated to analysis tasks. Prepare manuscripts and assist in grant preparation. Attend and participate in IBIC meetings. Maintain a current Laboratory Notebook
-
Specialist is an entry-level technical position contributing to the daily work of healthcare simulation program delivery. This person is part of the program delivery team that is responsible for installing
-
of Medicine Department of Emergency Medicine is seeking a Vice-Chair of Research to be an integral member of a growing emergency medicine program. Job Description: The Emergency Department is currently 57 beds
-
animal care program at KUMC was fully accredited by the Association for Accreditation and Assessment of Laboratory Animal Care International (AAALAC) in 1992 and has maintained its accreditation since
-
, microbiology, molecular biology, database analysis and computational biology may be used to conduct the research. Job Description: Research Overview: Design and conduct experiments and interpret data under
-
the University’s Individual Development Plan policy for postdoctoral scholars, have a PhD or equivalent terminal degree (such as MD, DVM, PsyD, PharmD, etc.), and candidates should have strong English skills and
-
research program seeks to increase our understanding of the immunological and molecular mechanisms involved in autoimmune dysregulation in Type 1 diabetes (T1D). Through the use of novel murine models