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the mechanosensitive processes and the mechanical properties of tissues that drive tumor malignancy and anti‑tumoral immune responses. This multidisciplinary project will combine: Biophysical techniques and image
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or Functional ultrasound imaging or Electrophysiology (neuropixels) in behaving animals Quantitative data analysis and computational modeling of network activity Data acquisition systems, signal processing and
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processing of large data sets, knowledge of data acquisition systems, signal and image processing as well as experience in measuring acoustic pressures in cavitating liquids and high-speed filming is highly
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Apply Now Job Summary A Research assistant position is open in the Michigan Institute for Imaging Technology and Translation (MIITT) in the Department of Radiology at the University of Michigan in
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the supervision of Dr. Merry Mani. The successful candidate will work on the development, validation, and translation of cutting-edge MRI techniques for imaging slow-flowing neurofluids and brain microstructure in
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demonstrated experience in computer vision or analysis of pathology images. The appointees will participate in a multidisciplinary collaborative research project related to development of deep learning model
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responsible for the design and testing of original machine-learning based methods for fetal heart biomarker discovery from the CAIFE image and video dataset. The full-time post is funded by InnoHK and is fixed
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Perseverance rover: ● Process, analyze and interpret MRO CRISM and Mars Odyssey THEMIS images to derive mineralogical information and relate it to geomorphological information. ● Participate in
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‘, bridges the different techniques developed within the cross-area imaging and gives support to all researchers dealing with image processing challenges. By focusing on automation and enabling correlative
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for the analysis of hyperspectral imaging data applied to pictorial layers, based on coupling physical radiative transfer models (two-flux and four-flux approaches) with machine learning methods. The researcher will