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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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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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assays) and high-resolution imaging approaches and quantifications from both mouse and human brains; mouse brain regional dissections; western blotting; and experiments in various in vitro culture systems
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image processing and/or data analysis. Proficiency in Python programming. Specific Requirements Full time and on-site within the LISTIC laboratory. Internal Application form(s) needed Offre emploi POST
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new research collaboration with Ames Lab focused on studying the mechanisms of biomass degradation using multimodal imaging techniques. This position will specifically focus on the use of single-walled
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Contract: Full-time (35 hours per week), fixed term contract for 12 months Role description The Biomedical and Astronomical Signal Processing (BASP ) laboratory at Heriot-Watt University Edinburgh
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surgery and augmented reality–enhanced robotic imaging. Duties & Responsibilities Conduct and support research in tele-robotic surgical systems and augmented reality–guided robotic imaging. Collaborate with
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organosulfur compounds using infrared and/or ocean color observations. Processing and analyzing satellite imaging spectroscopy data and integrating these with in situ and geophysical datasets. Lead dissemination
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 6 days ago
Contribute to advancing the MiROS technology from prototype to real-world application Your profile PhD (or MSc with strong experience) in electrical engineering, physics, biomedical engineering, computational
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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