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molecular biology, microbiology, and cell biology. Job description Design, implement, optimize, and maintain automated laboratory workflows for life science applications Provide expert support for laboratory
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adaptive reduced order model frameworks that integrate real-time monitoring data and virtual sensing to select and adjust model fidelity dynamically. Designing and validating virtual sensing methods
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be responsible for strategically translating the centre’s cutting-edge scientific work into compelling, accurate and impactful messages that support innovation adoption, stakeholder engagement, and
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-cell data) using existing pipelines Demonstrated ability to enhance, optimize, and extend existing computational pipelines, as well as design and implement new workflows Experience working with large and
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work within a dynamic, international team Knowledge of regulatory and ethical aspects related to handling patient data is an advantage Experience in graphic design (e.g., for journal covers) would be a
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planetary boundaries by analyzing and evaluating novel materials and technologies from a circularity, life cycle impacts and safety perspective, and providing guidance for designing more sustainable materials
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to identify systematic changes in thunderstorm environments Derive a representative, idealized initial setup for a numerical model (ICON) Design and run ICON modeling experiments that reflect the influences
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space applications. We combine theory, physics-based simulations, machine learning, and autonomous workflows to understand and design materials that can perform under conditions where conventional
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crucial insights. In this project, you will contribute to the development of AI-driven methodologies for experimental fluid mechanics , focusing on: Designing multi-fidelity neural networks for adaptive
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to a collaborative, team-oriented research culture Participate in teaching activities, including the design of new teaching materials in AI, machine learning, and genomics Profile Please only apply