Sort by
Refine Your Search
-
include animal models as synergetic platform for preclinical development of therapeutics and molecular biology aspects of the diseases. A self-starter with strong interest in understanding virological
-
neuroscience, with demonstrated success as a recent Ph.D. graduate with a track record in (1) statistical modeling, (2) tobacco regulatory science, or (3) neurocognition and brain development. The successful
-
post-doctoral research scholar. The successful applicant will have a strong training in cognitive science and human behavioral modeling, and be a passionate learner, who is eager to collaborate in
-
record in (1) statistical modeling, (2) tobacco regulatory science, or (3) neurocognition and brain development. The successful candidate will contribute to project planning and lead efforts related
-
to complete their degree within the next six months are also encouraged to apply.) Strong publication record. Experience with rodent models, cardiovascular cell biology, or bioinformatics is highly desirable
-
experience in animal models of pulmonary hypertension are particularly encouraged to apply. The successful applicant will also have experience in directing and training of graduate students and postdoctoral
-
, Pathology, or a related discipline. (Candidates expected to complete their degree within the next six months are also encouraged to apply.) Strong publication record. Experience with rodent models
-
investigates molecular and cellular mechanisms of pancreatic ductal adenocarcinoma (PDA) pathogenesis. The murine models of distinct genetic subtypes of pancreas cancer that we have developed form the basis
-
adenocarcinoma (PDA) pathogenesis. The murine models of distinct genetic subtypes of pancreas cancer that we have developed form the basis of our integrated, systematic, and multidisciplinary research program. Our
-
cell biology, immunohistochemistry, and animal model studies to support the maintenance of existing research projects in brain and lung cancer and, additionally, will contribute to both the optimization