81 machine-learning-and-image-processing-"RMIT-University" Postdoctoral positions at University of Minnesota
Sort by
Refine Your Search
-
Previous Job Job Title Post-Doctoral Associate - Electrical and Computer Engineering Next Job Apply for Job Job ID 369523 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular
-
Previous Job Job Title Post-Doctoral Associate - Department of Biology Teaching and Learning Next Job Apply for Job Job ID 369337 Location Twin Cities Job Family Academic Full/Part Time Full-Time
-
of wet lab experience. Degree in the biological sciences - biology, biochemistry, pharmacology, ophthalmology, etc. Experience with animal handling, ocular imaging (fundus, OCT), tissue dissection
-
field. ● Possesses a strong laboratory background and communication skills. Preferred Qualifications: ● Ability to quickly learn new things and work independently, open minded, along with previous
-
motor learning is available immediately in the laboratory of Dr. Aaron Kerlin (www.kerlinlab.org). Successful applicants will use state-of-the-art equipment we have constructed for the in vivo measurement
-
other sciences field by the time of hire and experience in a laboratory environment. Background in fluid mechanics and laboratory experiments is preferred. Data and image processing skills are also
-
of precision imaging datasets using supercomputing cluster resources. Support students and trainees involved in infant data processing and analysis. Present novel discoveries at international conferences
-
. The postdoc will process and analyze data, prepare manuscripts, and assist with MRI data collection. The CNS Lab has collected MRI data from samples of typically developing infants, infants who develop autism
-
of Minnesota Genomics Center, the Biological Imaging Centers, the University of Minnesota Herbarium of the J. F. Bell Museum of Natural History, Itasca Biological Station and Laboratories, and Cedar Creek
-
microbiological testing at interfaces within the compounding device prototype, assessment of the long-term stability of the fluid, and translating these findings into recommendations for the system design. Who