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microscopy (imaging/data processing) >2 years experience with primary cultures or stem cells Familiarity with computational biology and image based analyses Familiarity with CRISPR/Cas9 and molecular biology
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they are developing Required Qualifications* PhD Degree in Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, or a related field Familiarity with (biomedical) signal processing Experience
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Apply Now Job Summary A postdoctoral research fellow position is open in the newly formed Michigan Institute for Imaging Technology and Translation (MIITT) in the Department of Radiology
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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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days. 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 any time after the minimum posting period has ended
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or PhD in a field related to Molecular Biology 5 years of experience in the field of cancer biology, with an excellent record of scientific publications. Experience operating complex imaging systems
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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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reprogramming, organoid technology, tissue engineering, and tissue injury & repair to solve problems relevant to organ development and homeostasis, organ disease (including cancer), and tissue regeneration
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Specialist Intermediate position. The successful candidate will contribute in a variety of ways, consistent with her/his existing skills and previous experience in support of clinical and preclinical imaging
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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