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Université Paris-Saclay GS Life Sciences and Health | Fontenay aux Roses, le de France | France | 3 days ago
. We have also developed highly accurate structural models of control protein complexes in association with Rad51 filaments. We will use a multidisciplinary approach based on genetics, molecular biology
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., hydrogels, polymers, structured tissues), with applications in biomedical engineering, soft robotics, and more broadly in adaptive multiphysics systems. The developed models will be physically based and will
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DOE L-level security clearance Qualifications We Desire: Demonstrated experience with model-based reinforcement learning for real-time control applications Demonstrated experience with convolutional
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theory, modeling, and AI-assisted optimization activities within the consortium. Reporting and dissemination of the results. Share this opening! Use the following URL: https://jobs.icfo.eu/?detail=1074
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(SHM), physics-based modeling, and data-driven analytics to enable predictive, performance-based decision-making and improve infrastructure safety, resilience, and lifecycle performance. The candidate is
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, PCR, sequencing, gene expression analysis). • Skills in experimental entomology and infection models (rearing and maintenance of mosquito colonies under controlled conditions). • Ability to design and
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teaching in key and rapidly evolving areas such as autonomous systems, data-driven modeling, learning-based control, optimization, complex networks, and sensor fusion. Research at the division is
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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | 1 day ago
the Collaborative Research Center SFB 1324, which is a highly collaborative network of labs investigating the mechanisms of Wnt signaling in animal development and disease. Wnt signaling controls tissue patterning
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computing infrastructure. The main tasks will include: designing, implementing and documenting programming components supporting experiments with AI models (including LLM, generative models, complex system
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and measurement noise. • Developing predictive control strategies based on reinforcement learning or hybrid approaches compatible with real-time adaptive optics constraints. • Proposing and