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human health. Within this mission, the Jug Group develops advanced computational methods and open scientific software to extract knowledge from complex biological imaging data. We work at the intersection
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software engineers, as well as collaborating closely with research groups in the institute that work to develop new image analysis methods. Contributing to the development of open-source tools in
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human health. Within this mission, the Funke group is developing machine learning methods for automatic and semi-interactive analysis of biomedical image datasets, concretely: (1) semantic and instance
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to disseminating scientific results to the public and taking part in patients and public involvement and engagement activities; Contributing to MSc and PhD students supervision, as requested and appropriate. Human
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supports career development through training, mentoring and dedicated learning opportunities. What you'll bring Essential PhD in a relevant subject (e.g. biology, biotechnology, biochemistry, chemistry) to
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analysis methods into user-friendly software and service packages. Collaborating with team members and the community to maintain essential open-source software for bioimage analysis. Human Technopole
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: system modeling, optimization, multi-criteria decision-making · Economics & Data-Driven Public Policy: micro/macro, quantitative methods, causal inference, policy evaluation · Spatial Data Science & GIS
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propagation of knowledge; Raising third-party funding; Participating and helping to design HT Core infrastructures and facilities. What you'll bring Essential skills PhD (or equivalent) in a quantitative domain
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methods for integrative analysis of large-scale perturbation and omics datasets, translating results into experimental strategies in close collaboration with wet-lab teams. Drive scientific output and
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Technology Medical Imaging Medical Instruments and Robotics Multi-Omics, Bioinformatics, and AI for health Qualifications Candidates should have a PhD degree in related fields and have a passion for teaching