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Field
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image processing or phenotyping with a collegiate and self-driven attitude towards multidisciplinary research. About the Role The role includes carrying out fundamental plant science research related to a
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curious to deliver work that matters, your journey starts here! Since its inception in 1905, the Carnegie Mellon Department of Chemical Engineering has been on the leading edge of research and innovation in
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scientists, nuclear medicine physicians) to develop and implement innovative AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical
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fast-readout electron detectors to validate the methods developed. The successful candidate will have a PhD in Physics, Materials Engineering, Computer Science or a closely related field. Research
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passionate plant science researchers, bioinformaticians or remote sensing/data scientists with skills in image processing or phenotyping with a collegiate and self-driven attitude towards multidisciplinary
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. Our research groups work with the development of computer systems for data analysis, development of machine learning methods, and the clinical use of technology. Within the research group you will
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metrology, with expertise in quantum state discrimination and parameter estimation and/or in-process metrology and conventional optical microscopy, as well as image processing and model development
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of Neuroscience, biology, biochemistry or biotechnology or biomedical engineering), or the recognized terminal degree. Required Experience In-depth knowledge of specialized field, process or discipline. May require
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. Responsibilities will include image data processing and analysis of PET data, and may include fMRI or DWI (MRI) data processing and analysis in tandem with PET data. Opportunities exist for integration of imaging
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Surgery Campus IU School of Medicine Indianapolis Position Summary POST-DOCTORAL POSITION IN STEM BIOLOGY in the Department of Otolaryngology-HNS We are looking for a motivated and creative post-doctoral