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Field
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motivated postdoctoral associate to work on HIV-1 related projects with minimal supervision. The primary goal of the lab is to characterize the role of nuclear pore complex machinery in mediating HIV-1
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developments that enable machine-learning-assisted discovery, control, and certification of complex multimode quantum states. The work will interface closely with experimental partners (ETH Zürich, Aalto
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This PhD project focuses on developing formal methods and knowledge representation techniques for the modelling and analysis of complex manufacturing and intralogistics systems, such as highly automated
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innovative solutions to complex research challenges. Through this collaborative framework, participants will have the opportunity to leverage diverse perspectives and expertise, fostering a rich environment
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. Research learning activities may include: Designing and implementing Discrete Event Simulation (DES) models to simulate complex system workflows, queuing networks, logistics, and operational state changes
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for gene regulatory networks, single-cell multi-omics integration, spatial omics, and variant effect mapping in complex disease. Strong method/tool dev experience required (Python/R, ML/stats
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synthesize complex, bioactive small molecules, as well as how these molecules function in nature and in the context of human health. We are looking to hire postdoctoral fellows that share this interest in
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control mechanisms in development and disease. The lab pioneered global study of RNA polymerase pausing during early transcription and has particular interest in investigating the complex interplay between
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innovation. Purpose A postdoctoral research position is available in the Nanoassembly Lab at the University of Texas at Austin focusing on the physical chemistry and dynamics of polyelectrolyte complex
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policy, economics, statistics, or a related quantitative field Additional Qualifications Strong skills in Stata, R and/or Python and experience analyzing complex data Demonstrated experience working with