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This fully-funded PhD offers a unique opportunity to drive that change. We are seeking a talented and motivated student to join a multidisciplinary team working at the intersection of biomedical
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cultures—a powerful 3D ex vivo model—this project will dissect the mechanistic links between mTOR signalling, reactive glial phenotypes, and complement activation. The project will also incorporate human
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A position is available in the Cardiac Physiology Laboratory at the Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark. The position is
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bladder plays a vital role in storing and releasing urine, governed by complex neural circuits. As the bladder fills, sensory signals originating from its wall inform the central nervous system about
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) offer new avenues to tackle this problem. AI models have demonstrated strong potential in clinically relevant insights from electrical signals such as ECGs, and from cardiac imaging modalities including
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, governed by complex neural circuits. As the bladder fills, sensory signals originating from its wall inform the central nervous system about bladder fullness. Disruption of these signaling pathways can
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) offer new avenues to tackle this problem. AI models have demonstrated strong potential in clinically relevant insights from electrical signals such as ECGs, and from cardiac imaging modalities including
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signalling, raising the possibility of shared molecular mechanisms. Project Aims This PhD project will focus on investigating the fibrotic behaviour of cells isolated from glaucoma patients of different ethnic
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academic area such as applied mathematics, computer science, physics, biomedical or electrical engineering or similar disciplines. Good programming expertise (Matlab, C++, Python or equivalent) and
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research on biomedical sensor applications (biomedical sensor interfaces/ integrated mechanical strain sensors) analog/Mixed-Signal Integrated Circuit Design (CMOS, low-power, low-noise design) publication