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The Sr Staff Image Data Scientist is responsible for providing technical design, implementation, and operational health of critical analysis platforms in assigned department. Serves as a technology
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equipment acquisitions and emerging imaging technologies; assisting in the preparation of funding requests for new or replacement instruments. Qualifications Required: PhD in a relevant field (e.g., molecular
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, Bioinformatics, Physics, or a related field. A strong background in image processing and image data analysis. English proficiency Preferred PhD in Biology, Bioengineering, Computer Science, Bioinformatics, or a
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Brain-Computer Interfaces Biomaterials and Biomanufacturing Organoids and Organ-on-a-Chip Technology Medical Imaging Medical Instruments and Robotics Multi-Omics, Bioinformatics, and AI for health
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with cryo-EM/ET data processing, tomographic reconstruction, or related inverse problems in imaging. Familiarity with molecular dynamics simulations (e.g., OpenMM, LAMMPS) and/or synthetic data
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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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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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. 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
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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 engineering and communication sciences and disorders. Position Overview We seek a PhD-level investigator with an established, externally funded research program in hearing loss, cochlear