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with experience applying these models to practical applications for real-world challenges. Good programming skills, Python is mandatory, other languages (e.g., Java, C++) will be considered a plus to
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. Enforcing these is hard when the data, the model, and the rules belong to different parties, none of whom can hand over what they hold. Privacy-preserving AI protects data and models but not rules, while
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atmosphere, with regular gatherings such as professional meetings within the research group, weekly colloquia, shared lunches, and “Friday coffee” sessions to end the week. These formal and informal events
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pipetting, preparation of buffers and solutions, pH adjustment You are interested in combining different types of experiments: preparing MOF materials and thin films, loading peptides into porous materials
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adjustment You are interested in combining different types of experiments: preparing MOF materials and thin films, loading peptides into porous materials, following adsorption and release, and monitoring
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capabilities. Key skills that we are looking in the candidate are: excellent programming skills (preferably in Java, C++, or C), and good understanding of efficient data processing. Are you motivated to take a
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capabilities. Key skills that we are looking in the candidate are: excellent programming skills (preferably in Java, C++, or C), and good understanding of efficient data processing. Are you motivated to take a
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lunches, and “Friday coffee” sessions to end the week. These formal and informal events offer opportunities to share ideas, celebrate milestones, and build relationships. PhD candidates also organize social
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Learning Centre; multiple courses on topics such as leadership for academic staff; multiple courses on topics such as time management, handling stress and an online learning platform with 100+ different
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and transparency for different stakeholders? How can privacy-preserving mechanisms and AI-assisted data engineering support secure and efficient data sharing while fostering trust and responsible data