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management support, with concrete prototype, by analyzing and understanding data through models—both static and dynamic representations that capture the knowledge and behavior of a physical system. The role
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on these instruments. The focus areas include nano-imaging, nano-analysis, and in-situ process control for nano-fabrication. AINA’s multi-disciplinary team of experts in charged particle optics, mechanical engineers
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of confocal images. Your profile... We are looking for a highly motivated and enthusiastic scientist with the following competencies and experience: Essential experience and skills: You have a PhD in
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. · Support PhD students in their work, focusing on the combination of knowledge-based and data-driven approaches · Develop new hybrid AI models and algorithms · Implement a prototype of a
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natural and artificial intelligences process information. The project is led by Heiko Schütt and will employ one PostDoc and one PhD student. About the role... You will develop new Bayesian methods