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analysis (0–15) Value added in Machine Learning (0–5) Potential for autonomy/collaboration (0–5) Selection process The specific committee will agree upon an award proposal and draw up a prioritised shortlist
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. • Analysis, interpretation, and reporting of results in collaboration with international partners. • Contribution to publications, project reporting, and dissemination activities. Required experience • Coating
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and modelling of omics, clinical and imaging data, development of reproducible pipelines, application of machine learning techniques, integration of multi-modal data, scientific publication and
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member of the Medipix Collaboration, the group has access to the full family of Medipix ASICs. In addition, the Medical Physics group benefits from access to state-of-the-art packaging facilities, which
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Learning and parameterised quantum circuits. Analysis of multi-omic data for the identification of therapeutic targets. Migration of algorithms from classical simulators to IBM quantum hardware
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neurovascular research in close collaboration with clinical teams. Main responsibilities and duties: Coordinate and manage activities within the neurovascular research laboratory Provide support to PhD students
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based on neutral atom platforms, exploring both theoretical and experimental domains. Research will span quantum control, quantum-enhanced machine learning, and hybrid quantum-classical computation
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and scientific exploitation of state-of-the-art, ground-based gamma-ray telescopes. As a key member of the MAGIC and CTAO-LST collaborations, the group develops critical hardware, software, and data
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problems in human health with cutting edge technology and through inter-disciplinary collaborations with world-class scientists and physicians in Beijing. CIMR will provide education and training
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understanding, capabilities and innovation, while inspiring and providing broad training to the next generations of researchers. Our values are Commitment, Collaboration and Transformation. Our research lines