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on patients with the pre-cancerous conditions of the upper GI tract with a goal to improve diagnosis and management of patients with cancer. For more information visit https://www.earlycancer.cam.ac.uk
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built. The Department includes researchers from economics, law, planning, public policy, finance, real estate and engineering. LISA supports spatial research across these fields, with a focus on GIS and
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or Master's degree in Computer Science, Machine Learning or related field, or equivalent experience. Programming proficiency in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow). Solid
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, test automation, and CI. Services are deployed to cloud infrastructure in Docker containers. Our technology stack is: AWS, GCP, Terraform, Ansible, Docker, Python, Django, React, Material UI and
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complex research projects involving multiple interdependent components. Experience in programming (python) and applying AI-assisted technologies to streamline research and analysis workflows is highly
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confidence in Python programming is essential. Practical knowledge of experimental implementation of optical imaging instrumentation and performing the associated data handling and analysis is also essential
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tools for the early detection of early upper GI neoplasia. This is an exciting opportunity to join a cutting-edge research group at the University of Cambridge. The Fitzgerald group is passionate about
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on continual learning. - Knowledge and experience of appropriate software tools and programming languages such as PyTorch and Python. - Excellent oral and written communication skills. - Experience of teaching
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experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
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to OpenStack. Proven ability to work effectively within a team and individually. Basic knowledge of scripting languages primarily with Python & Bash. Experience of CI/CD principles, ideally but not essentially