56 computer-science-programming-languages-"U" Postdoctoral positions at University of Miami
Sort by
Refine Your Search
-
IHC/IF. Applicants must have received a Ph.D. or M.D./Ph.D. degree and have strong interpersonal and communication skills, including fluency in spoken and written English. Good organization skill is
-
to changing priorities and work demands. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and
-
to apply for a faculty or staff position using the Career worklet, please review this tip sheet . The Department of Ocean Sciences at the Rosenstiel School of Marine, Atmospheric, and Earth Science invites
-
molecular biological and quantitative techniques including microscopy, flow cytometry, computational/mathematical modeling, and utilizes approaches from synthetic biology and complex biological systems
-
the dissolution capability of microneedle patches and transdermal drug release by plasma sample analysis focused on animal models. Finally, the research plan will include a component of simulation to describe
-
laboratory equipment for human neurophysiology and computer programming experience with Matlab is advantageous, but everyone is encouraged to apply. Knowledge, Skills and Attitudes: Skill in collecting
-
Education: Ph.D. required Experience: No prior experience required Knowledge, Skills and Attitudes: Skill in collecting, organizing, and analyzing data. Ability to recognize, analyze, and solve a variety of
-
other duties or responsibilities as necessary. CORE QUALIFICATIONS Education: Ph.D. required Experience: No prior experience required Knowledge, Skills and Attitudes: Skill in collecting, organizing, and
-
, genomics, or cell biology preferred. No prior experience required Skill in collecting, organizing, and analyzing data. Ability to recognize, analyze, and solve a variety of problems. Ability to exercise
-
translational research approaches. Proficiency in molecular and cellular biology techniques, including gene and protein expression analysis, imaging, and cell-based assays. Experience with in vivo metabolic