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Ultrasound (UDUS) Research Group and the Michigan Institute for Imaging Technology and Translation (MIITT) at the University of Michigan. Our team is positioned at the interface of ultrasound (US) and magnetic
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Qualifications* PhD Degree in Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, or a related field Familiarity with (biomedical) signal processing Experience working with clinical data
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to generate tumor models, bioluminescence Imaging, and animal necropsy. Other wet-lab techniques or assays maybe involved depending on how the project progresses. PhD (or equivalent) in Biomedical Sciences
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blot, immunofluorescence) Cell transfection Mechanical testing and biomaterials characterization Quantitative image analysis Computational skills including data processing and statistical analysis Prior
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used for CSAF deposition and characterization. • Other duties as assigned. Qualifications: Preferred applicants will have, or be close to completing, a PhD in physical science or engineering. They should
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) PhD graduate who is interested in strengthening their experimental, analytical, and publishing skills before transitioning to independence within academia or bio-pharma industry. Transferring
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quality in maintaining scientific standards and safe laboratory practices Qualifications Basic Qualifications PhD in Biomedical Engineering, Biophysics, Biology, Chemical Engineering, Pharmacology, or other
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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
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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
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skills in image processing or genomic data analysis. Proficiency in rodent neurosurgeries. Familiar with Linux OS, virtual environment working and batch scripting. Programming proficiency in R, Python