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and imaging mass cytometry, and RNA sequencing. Disease areas of interest are fibrotic lung diseases such as idiopathic pulmonary fibrosis, pulmonary graft-vs-host disease, acute respiratory distress
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, Coastal Marine Science, Computer Science, Electrical Engineering, or a closely related field. The ideal candidates will have experience in one or more of the following topics: deep learning for image and
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record (EHR) as well as MyChart data, with the opportunity to work on applications of machine learning/deep learning/ Natural Language Processing in novel areas of healthcare. The position is open for a
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of mutational processes in human health and disease. We are an interdisciplinary team of experimental, computational, and clinician scientists allowing us to generate and analyse complex data from emerging
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are looking for a postdoc to lead the translation of optical neuroimaging technology for neurosurgical applications. The postdoc should have experience developing optical instrumentation. Experience in image
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looking for a postdoctoral fellow interested in developing either machine learning algorithms for high-resolution histopathology imaging/spatial-profiling data in combination with other modalities (e.g
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engineering, or in a relevant engineering field, with an extensive background and training in the operation of a wide range of spectroscopic and imaging techniques for materials characterization. Use of HRTEM
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relying on optical measurement techniques for fluid mechanics, such as particle image or particle tracking velocimetry. Work with graduate and undergraduate students to fabricate and test prototypes, using
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for microscopy imaging, and operating transmission electron microscope. This position will be expected to conduct data analysis, prepare publications, and present research findings in regional and national
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(transcranial magnetic stimulation (TMS), intracranial electrical stimulation (iES)) concurrent with functional magnetic resonance imaging (fMRI) or intracranial electroencephalography (iEEG), and brain lesion