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applications to medical data. The project will combine theoretical work on multiparameter persistence with the design and implementation of algorithms for medical image analysis. The successful candidate will
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will be further developed by the successful candidate in collaboration with the supervisory team. Main tasks The successful candidate will: develop and evaluate image-classification workflows
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of 3 years. About the project/work tasks: The project aims to develop innovative quantum sensing techniques using nitrogen-vacancy (NV) centers in diamond to study intracellular processes in stressed
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-disciplinary. The candidate is expected to work in the Human-Computer Interaction Group (HCI) and collaborate with the Intelligent Information Systems (I2S) Group, the Research Group for Emerging Media, and the
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of maturity, this technology requires to experiment a change of paradigm to guarantee a sustainable development for the years to come. One pathway to achieve this paradigm shift relies on the development
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to: Contribute to development and deployment of particle imaging systems for use in breaking waves, both in the field and in the lab Contribute to analysis of images, and development of the open-source analysis
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, working closely with other project participants on field measurements, laboratory work and model development. The candidate will be expected to: Contribute to development and deployment of particle imaging
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based tissue imaging. The work also includes functional characterization of genetic variants identified in patient cohorts, as well as testing of immunomodulatory drugs that affect IL 12/IFN γ signalling