63 systems-science-"https:"-"https:"-"https:"-"https:"-"C.N.R" Postdoctoral positions at University of Miami
Sort by
Refine Your Search
-
Qualifications MD or Ph.D. in biomedical engineering, neuroscience, kinesiology, or a related field is required No prior experience required. Prior technical experience with laboratory equipment for human
-
postdoctoral associate position is available at the Department of Civil & Architectural Engineering, University of Miami (Coral Gables, FL). The selected candidate will work on computational frameworks
-
not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. DESIRED QUALIFICATIONS: Education: PhD, MD, or MD/PhD in cardiovascular science, physiology
-
to apply for a faculty or staff position, please review this tip sheet . The Department of Psychology, within the College of Arts & Sciences, is seeking a full-time Post Doctoral Fellow reporting to Dr
-
, Atmospheric, and Earth Science has an exciting opportunity for a full-time Post-Doctoral researcher position based in Miami, Florida. This position is supported for a period of two years through a project
-
knowledge of state-of-the-art principles and theories. 5. Develops advanced analytical models and systems and provides solutions and analyses to support strategic and tactical decisions. 6. Adheres
-
Coral Gables, FL. The Department of Psychology, within the College of Arts & Sciences, is seeking a full-time Post-Doctoral Associate for 24 months under the supervision of Dr. Amishi Jha. The post
-
UHealth Medical campus in Miami, Fl. CORE JOB SUMMARY The Postdoctoral Associate is responsible for conducting independent research, analyzing data, preparing research summaries, and drafting manuscripts
-
qualitative research methods. Disciplinary background is open within environmental governance, including but not limited to: political science, political ecology, sustainability science, human geography
-
informatics-driven educational innovations. Integrate large-scale educational and clinical datasets into AI-driven learning systems to improve decision-making and training efficacy using best practices in