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in simulation, prediction, and analysis of large-scale and complex fluid systems. Special emphasis will be directed toward incorporating high-performance computing, advanced algorithms, machine
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algorithmic advances and aim at publishing them at these top venues. More details about the position can be found here. As a KAUST postdoc or researcher, you will have access to state-of-the-art research
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industry partners. Design, implement, and validate advanced reinforcement learning models. Utilize reinforcement learning and evolutionary algorithms to discover new chemical materials. Publish and present
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domestication history and bioinformatics. The ‘Cereal Genetics and Genomics’ group leverages technological innovations in genomics and molecular biology to address critical questions in genome biology, evolution
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are in particular targeting development of data-driven high-performance computing techniques for unbiased discovery of generative models & theory and algorithms for network inference with special reference
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keen interest in genome biology, evolutionary biology, crop domestication history and bioinformatics. The ‘Cereal Genetics and Genomics’ group leverages technological innovations in genomics and
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immune response mechanisms, vaccine development, or genetics of host responses to infectious agents will be considered. Host-Microbiome Interactions: We seek candidates who will study the role
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for metabolic reactions Synthetic gene circuits: programming genetic circuits for complex cellular behaviors We seek candidates with a Ph.D. in relevant areas of biology and engineering and an outstanding