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, functional, and molecular imaging data. This multimodal technology is optimized for preclinical research in oncology, neurobiology, embryology, and cardiology. Its non-invasive nature allows longitudinal
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and apply multi-objective analyses based on Pareto optimality to 2D and 3D root system architectures. Extend the Ariadne pipeline to integrate new tradeoffs (robustness, redundancy, transport capacity
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(WP4), led by IEM, focuses on the design, modeling, and optimization of a laboratory-scale EC-MF pilot using promising electrocatalytic materials synthesized in WP1.3. The postdoctoral researcher will
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computational approaches to biological systems. Its core activity is the development of deep learning methods for protein design and optimization, with applications in biology and medicine. - activities: We