33 condition-monitoring-machine-learning Postdoctoral positions at University of Maryland, Baltimore
Sort by
Refine Your Search
-
. Qualifications: The ideal candidate will have extensive experience in T cell-based immunotherapy (it might include CAR T cells), including studies on in vitro T cell–cancer cell interactions demonstrated by
-
orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law or policy. Job:Postdoctoral Fellows
-
identity, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law or policy. We value diversity and how it enriches our academic and
-
action employer . All qualified applicants will receive consideration for employment regardless of sex, gender identity, race, color, religion, national origin, disability, protected veteran status, age
-
Post-Doctoral Position - Medical Image Processing - (240000Y9) Post-Doctoral Fellow Position in Medical Image Processing (Deep Learning for Trauma CT) The Trauma Radiology AI Lab (TRAIL) in
-
. Opportunities also exist to learn about clinical research as translation of pre-clinical research to the clinic is one of the main charters of this group. Requirements: The qualified candidate will have a Ph.D
-
days and 15 days of sick leave); comprehensive health insurance; professional learning and development programs. Qualifications Applicants must have a PhD, or MD/PhD with experience in immunology
-
cloning, virus design and construction, and gene expression in vitro and in vivo is needed. Expertise in stem cells and immune cells is desirable including with CAR T or NK cells. Familiarity with FACS is
-
; Embraces and actively promotes an inclusive and equitable work environment. Experience conducting mixed-methods research, including quantitative and qualitative analytical skills; Proficient computer skills
-
science on bacterial pathogens with translational implications for worldwide impact. This position would provide opportunities to learn novel cell modeling systems and immune response characterization and