12 post-doc-image-engineering-computer-vision PhD positions at The University of Iowa in United-States
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? This position is uniquely suited for professional development through being at the intersection of clinical research, quantitative imaging, nuclear metrology, and nuclear medicine physics. The post
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microscopy techniques and image analysis (confocal, multiphoton, or other advanced imaging techniques) and/or electrophysiology. Demonstrated computational knowledge, use of ImageJ, and familiarity with a
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, biology, and medicine? We’re seeking a talented Scientist to join our dynamic team! Our mission is to develop novel PET imaging agents for widely metastatic cancers and to develop novel radioligand
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Requirement: PhD, MD/PhD or MD with significant bench research experience Required Qualifications: Experience in designing experiments, gathering and recording data, and presenting of results. Demonstrated
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are desirable. The successful candidate will be joining a team of biomedical engineers, cancer biologists, and radiation oncologists and will contribute to the ongoing work in the treatment of cancer and other
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Laboratories) Join a team of scientists investigating the molecular pathogenesis and developing gene therapies for vision disorders. The Wallrath and Drack Laboratories in the Departments of Biochemistry and
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program. There are two positions available: one with a stronger engineering development focus and a second with a stronger focus on the use of the imaging and associated subject demographics to establish
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candidate will have (or be soon completing) a doctoral degree in biomedical engineering, chemical engineering, pharmaceutics, or a related field. The candidate must be highly motivated with evidence of
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technology to track single GPCR molecules on cardiovascular cells derived from healthy and diseased patients. Through our collaboration with the Stanford Cardiovascular Institute, the lab has access to one
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project management on a large clinical trial. Required Qualifications: A Ph.D. in health services research, health outcomes, epidemiology, health economics, health informatics, biostatistics, or a closely