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a highly motivated researcher associate (M/F) with strong background in computational structural biology. The successful candidate will be working on developing AI-based computational approaches
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been designed at low Reynolds number, when the flow is mainly populated by small-scale structures. However, as the Reynolds increases, these control strategies become rapidly inefficient
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(reproduction, firing, documentation); • Contribute to the development, updating, and long-term structuring of an interactive ceramic database throughout the project; • Take part in field surveys aimed
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capabilities of stakeholders by suggesting relevant arguments, retrieved from the web, and facilitating a good grasp of a debate thanks to an automatically generated and structured synthesis of the most salient