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Cardioembolic Stroke Risk Stratification using AI Accelerated Patient-Specific Blood Flow Simulation
This 3-year PhD thesis will be based at Inria and co-supervised by Dr Maxime Sermesant (3IA Côte d'Azur Chair, Epione team, Inria, Sophia Antipolis), Dr Nadjia Kachenoura (Biomedical Imaging Laboratory
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major equipment acquisitions and long-term capital needs. Your qualifications should include: · PhD, DVM, MD, or equivalent in biomedical imaging, cancer biology, radiology, biomedical engineering
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and a singular vision: to create the future of medicine, one patient, one discovery at a time. Additional Information: PhD in biomedical/electrical engineering or physics or other related fields
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Cleveland Clinic’s Department of Biomedical Engineering (BME) in collaboration with the Department of Orthopaedic Surgery, invites applications for a faculty position to lead a cutting-edge research
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of our existing data infrastructure. This can include web applications, APIs, machine learning tools, and image processing pipelines. Utilise good software development practices such as CI/CD, writing
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collaboration with groups at CERN and the nuclear chemistry department at CTU. Note that this call is only for funding. Students also have to apply to our PhD program (Nuclear Engineering, see details at https
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sciences, medicine, biomedical engineering, or a related field Strong interest in cardiovascular physiology and/or medical imaging Skills in data analysis, processing, and statistics Languages Advanced
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based on nanocrystalline material. Starting from material treat gment and testing, analytical solution based on vector potential, through the numerical FEM model, physical model and prototype
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/electronic engineering /mechanical engineering / computer science or related fields obtained in 2019 or later. 2. Experience in biophotonics imaging techniques. 3. Skills in image and signal
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. You will set the agenda in optical imaging for health technology and contribute to flagship initiatives that improve patient outcomes through prediction, prevention, early diagnosis, and treatment