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the Multimodal AI Across Scales research centre at the HT, you will design, develop, document, and maintain open-source software solutions that work hand-in-hand with the machine learning methods we
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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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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 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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to accelerate biomedical discovery. Our mission is to transform bold scientific ideas into advances that improve human health. In this context, the Funke lab develops machine learning methods to accelerate
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computer software; Assisting with preparing grant applications to secure further funding for relevant projects; Helping establish new projects and research consortia relating to the Zuccolo Group research
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· Foundational software and systems · Internet of Things and Industrial Internet · Cloud computing and big data · Cyberspace security; privacy and trustworthy systems · Advanced AI (including frontier AI systems
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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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research, develop innovative methods and tools, and ensure accurate documentation of activities. Generate high-quality data, maintain proper records, and contribute to writing scientific manuscripts. Publish
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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