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for diagnosis and treatment, radiograph analysis, and patient outcomes in musculoskeletal care. The candidate will also work towards the development of ML projects to deal with multi-model datasets (text, images
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improvements. Validate reliability and scalability via thermal cycling/HTS/electrical stress on test vehicles; build prototype stacks (e.g., interposer/test-chip) to evidence manufacturability. Report and
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, through the advancement of knowledge of soft tissue mechanics and the use of non-invasive imaging techniques. The aim of this project is to create and test biomimetic silicone-MEW valves and optimise
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for the optimisation and development of medical devices, particularly cardiovascular and urological devices, through the advancement of knowledge of soft tissue mechanics and the use of non-invasive imaging techniques
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, serum, urine, and other biological samples. Integrate multi-modal datasets to uncover mechanisms underlying kidney disease progression and treatment response. Apply advanced microscopy image analysis and
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. Job Requirements: Competence in working with languages such as C along with Python-based coding and AI development. Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD
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-disciplinary team of researchers, including bioinformaticians, pathologists, oncologists, and computer scientists, and conduct original research on computational pathology. Digital pathology images contain rich
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and 110 PhD students. Our community of world-renowned researchers and educators** have access to a state-of-the art core facilities and expertise, including for high-throughput screening
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8:00am to 5:00pm Job Summary: The Postdoctoral Fellow provides for an internship and continuation of scholarly activity and research after achieving the PhD or other doctoral degree under
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) 77644905 Email: [email protected] or Professor Mona Johannessen: Phone +47 776 46225 Email: [email protected] via Unsplash Qualifications Required qualifications: Completion of a relevant PhD