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approaches to assess multiplex immunostained tissue samples utilizing commercial and custom image analysis software in collaboration with the TBL and computational biology teams. Keep detailed records and
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neurological diseases. Before PET imaging, a radiotracer is injected into the patient to display metabolic processes in the body. At the Institute for Neuroscience and Medicine (INM-4), we are developing
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stained to resemble H&E images (https://doi.org/10.1364/BOE.10.005378 ). This postdoctoral position aims at developing tools for classical H&E and virtual SRH staining and classification. This work is
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Degree student in Computer Engineering or a related field. The awarding of the fellowship is dependent on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions
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within the Eskenazi School of Art, Architecture + Design and the College of Arts & Sciences. The Eskenazi School of Art, Architecture + Design (Eskenazi School) (https://eskenazi.indiana.edu/) advances
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Consortium’s Science Ground Segment, providing algorithm and software development, participating in data quality assurance, and performing data processing. In addition, ENSCI supports the US research community
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16 Apr 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Arts » Visual arts Computer science » Programming Researcher Profile First Stage Researcher
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Ph.D. in electrical engineering, biomedical engineering, computer science, medical physics, neuroscience, or a related field. While this is the preferred background, highly qualified candidates from
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 18 hours ago
degrees in educational leadership, marine biology, nursing practice and psychology; and many distance learning options, including clinical research, an accelerated RN-to-BSN program, an Executive M.B.A
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reconstruction using Fourier domain optical normalization." Light-Science and Applications 5: el 60389, 2016. http://dx.doi.org/10.1038/Isa.2016.38 Henn MA, et al: "Optimizing the nanoscale quantitative optical