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Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for improved cancer understanding, diagnostics, and
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simple identification of nuclear material even when the typical signatures of the materials may be unavailable. X-ray imaging is commonly used to image concealed objects but x-rays are attenuated in
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for these infants. Structural brain imaging with cranial ultrasound (CUS) and magnetic resonance imaging (MRI) remain the traditional means of neurological assessment but are limited in their ability to reliably
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materials are connected is critical for the development of next generation functional materials. However, modern atomically-resolved imaging techniques only give an integrated snapshot of the structure
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Some of these cookies are essential, while others help us to improve your experience by providing insights into how the site is being used. For more detailed information about the cookies we use, please see our Cookie policy I Accept Cookies I Do Not Accept Cookies Necessary cookies enable core...
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Roentgen’s Nobel Prize-winning discovery of X-rays enabled us to non-destructively image inside the body, birthing medical diagnostic imaging and revolutionising materials characterisation
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during pathological conditions. 2. Neonatal seizures and epilepsy 3. GABAA receptor physiology. We approach these research areas with electrophysiological and imaging. The Postdoctoral researcher will be
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The research in this doctoral opportunity will investigate the relationship between material elastic and thermal properties by using high resolution digital imaging under dynamic loads. Digital
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors
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, including patch-clamp electrophysiology, high-resolution imaging, chemogenetic manipulation of glial activity, and behavioral assays in rodent models Analyze and interpret complex datasets from