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Field
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combines microfluidics, bubble physics, and ultrasound signal processing to bring nanobubble imaging closer to clinical use. You will collaborate closely with a fellow PhD candidate, a postdoc, and a
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the appropriate rank based on their education and experience. The broad criteria are noted below. Education The successful candidate must have the following degrees: A PhD or Doctorate in Medical Imaging, with a
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statistical assessments of the uncertainties of the estimate(s). Essential Job Duties Gather key data from the HST archive and calibrate/process the images such that the quantitative analysis of the atmosphere
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reconstruction of the underlying three-dimensional scene. Within this PhD project, you will develop an end-to-end incoherent holographic imaging system. You will investigate models for the propagation
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will find more information about working at NTNU and the application process here. About the position We have a vacant 100% PhD position in the MRI Physics Group at the Department of Physics, NTNU
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18th October 2026 Languages English English English The Department of Physics has a vacancy for a PhD Candidate in AI-assisted medical imaging with MRI Apply for this job See advertisement Are you
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. Bert Koopmans, based at Eindhoven University of Technology. PhD candidate 1 will explore fundamental processes underlying the deterministic creation and annihilation of sub-diffraction limited skyrmions
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: General mammalian cell culture hiPSC culture and cardiac differentiation Molecular biology (RNA extraction, RT, qPCR) IF staining and imaging (inc. image processing and quantitative analysis of features
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, prototype manufacturing and assembly of wave energy equipment. Liaison and organization of large-scale indoor tests of wave energy equipment. Channel expansion and industry exhibition promotion of wave energy
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processing, machine learning, computational imaging, and clinical translation. Beyond your individual research contributions, you will serve as a technical coach for the PhD researchers, helping to align