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how plants control gene expression across different tissues and stress conditions by combining single-cell genomics, artificial intelligence, and synthetic biology. Apart from shedding light on
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of the occurrence of rare events, as well as model simplifications and associated a posteriori error estimate. This will mainly rely on the construction of optimal control strategies associated to the large deviation
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. Within the ERC-funded multiCODE project, we aim to unravel how plants control gene expression across different tissues and stress conditions by combining single-cell genomics, artificial intelligence, and
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A post-doctoral position funded by the Wellcome is available in the laboratory of Leon Lagnado to study the flow of information controlling visually-driven behaviour. Fluorescent reporters
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results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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make a difference in the world! Position Information We are seeking a postdoctoral position focused on the development and deployment of computer vision and intelligent robotic systems through physics
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make a difference in the world! Position Information A full-time postdoctoral position is available in Dr. Arash Kheirodin's laboratory in the Control Environment Entomology lab, with the Department
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century across three research themes: AI in Fashion Design AI in Textile & Apparel Quality Control AI in Ergonomic Design The RCA will lead three projects across these themes, working with researchers from
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Apparel Quality Control AI in Ergonomic Design The RCA leads three projects across these programmes, bringing together interdisciplinary teams and industry partners to develop innovations with real-world