176 engineering-computation "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at Loyola University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
(CTSU), National Marrow Donor Program (NMDP) and Central Institutional Review Board (CIRB). Completes and tracks IRB submissions including amendments, serious adverse events, closures, and annual reviews
-
routine computer software for data analysis. An effective Team player with strong interpersonal skills. Certificates/Credentials/Licenses N/A Computer Skills Ability to use Microsoft Office, Prism, and
-
to maintain confidentiality. Ability to use Microsoft Office, Prism, and other routine computer software for data analysis. An effective team player with strong interpersonal skills. Certificates/Credentials
-
recurrent infections. Our research projects are highly translational and will be conducted in collaboration with esteemed scientists from Genentech Inc. and computational experts from the University
-
. Computer Skills collecting and analyzing data, writing manuscripts, giving presentations, and mentoring students. Experimental techniques will include behavioral assessment of mouse models, brain and spinal
-
responsible for building a robust general medical oncology program. The candidate will provide strong leadership, expand the clinical and research programs, assist in recruiting high-caliber talent
-
and clinical teaching of LUC medical students are an integral part of the program. Faculty rank and compensation will be commensurate with experience and qualifications. Applicants should be board
-
/Credentials/Licenses n/a Computer Skills N/A Supervisory Responsibilities No Required operation of university owned vehicles No Does this position require direct animal or patient contact? No Physical Demands
-
University’s Nondiscrimination Policy . Quick Link for Posting https://www.careers.luc.edu/postings/29451 Job Number PT Organizational Location HEALTH SCIENCES CAMPUS
-
animal models to investigate how such changes in cell signaling and electrophysiology may be reverse-engineered for application in the clinic. Techniques we use include patch-clamping, live-cell imaging