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deep learning techniques to improve image processing and trait prediction. Analyze large datasets generated by the Phenomobile.v2+ to identify key traits affecting crop performance under stress
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of medicine and engineering, with an emphasis on precisely controlling biomaterial functionality and architecture to treat diseases, control cell behavior, or answer fundamental biological questions. In
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disease diagnostics. Responsibilities: Design, prototype, and test microfluidic systems for point-of-care biosensing applications Develop implantable or wearable devices for real-time in vivo diagnostics
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, the Microbial and Plant Genomics Institute, the BioTechnology Institute, the Biotechnology Resource Center, the University of Minnesota Genomics Center, the Biological Imaging Centers, the University of Minnesota
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of neural activity will be used in conjunction with advanced imaging methods and behavioural assays to investigate how signals beginning in the retina and transmitted through different visual pathways
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initiation, progression, therapy response and prognosis, and (iv) novel microbe discovery in cancer and other chronic diseases. The knowledge gained using our “tumor ecology” paradigm will be translated
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systemic infectious processes, immune responses, and evaluating therapies, refinement measures to reduce stress and improve welfare in experimental animals are underexplored. In this 3RTG, we will address
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of precision imaging datasets using supercomputing cluster resources. Support students and trainees involved in data processing and analysis. Present novel discoveries at international conferences. Publish
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synchrotron-based techniques to inform process development. The role requires a strong background in synchrotron characterization techniques, mainly three-dimensional imaging (microtomography and
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A postdoc position is immediately available at the Advanced Photon Source of Argonne National Laboratory. This position will involve developing X-ray coherent scattering imaging techniques