10 postdoctoral-image-processing-in-computer-science-"U" positions at University of Michigan
Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
blot, immunofluorescence) Cell transfection Mechanical testing and biomaterials characterization Quantitative image analysis Computational skills including data processing and statistical analysis Prior
-
of Orthopaedic Surgery is conducted by a diverse group of faculty, staff and trainees with expertise in biology, engineering, health outcomes, and healthcare. Our research teams are focused on improving treatment
-
. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended. U-M EEO
-
into the design of a prototype implant to be tested in large animals. The Neural Engineering and Ophthalmology research environments are excellent. The Neural Engineering Training Program and the Vision Research
-
School. KHRI and the neuroscience community at the U-M provide a highly supportive and diverse research environment and excellent career development opportunities for postdoctoral fellows. We are committed
-
opportunities to work with other investigators from Michigan and Harvard. Required Qualifications* Ph.D. in Statistics, Mathematics, Biostatistics, and Computer Science. Strong computing skills using R, Python
-
years of research experience in biology or a related discipline. Publication record demonstrating computational skills in image processing or genomic data analysis. Proficiency in rodent neurosurgeries
-
Postdoctoral experience in a relevant field, preferably related to HIF signaling, musculoskeletal biology, or cellular metabolism.\ Hands-on experience with fracture mouse models, osteoarthritis models, and
-
excellent verbal and written communication skills, attention to detail, and demonstrated computer efficiency. In addition, the candidate should have strong organizational skills, the ability to successfully
-
methods such as genetics, molecular biology, RNA-sequencing, FACS, biochemistry, confocal imaging as well as behavioral and -omic data analyses. These require accurately and effectively applying