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the proposed project within the specified timeframe. Applicants who progress through the selection process will be invited to interview for the position, either in person or via electronic means. Applicants
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simulations, including AI-based methods. The project associated with this position aims to take advantage of a virtual library of more than 1 million organometallic bifunctional catalysts, optimised
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researchers will investigate AI’s impact on creative processes, develop innovative co-creative AI systems and educational strategies, and reflect on AI’s ethical, legal, cultural, and societal implications in
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provide a fundamental understanding of the physical processes at play when droplets interact with soft hairy surfaces and when actively driving a soft sheet near a wall. Essential to the projects is
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. Broad interests including some of the following: Higher category theory, stable homotopy theory, computer algebra. All candidates and projects will have to undergo a check versus national export
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address the fundamental processes guiding the earliest stages of mammalian embryo development. Early embryogenesis involves tightly coupled cellular dynamics, mechanical forces, and gene regulation
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qualifications: A strong background in algebraic topology. Experience in any of the following: Higher category theory, stable homotopy theory, simplicial methods. An interest in computer algebra and programming
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knowledge within advanced modelling/analysis methodology Applicants must have hands-on experience working with model lipid membranes Applicants must be proficient with computer programing Fluent oral and
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: Data is crucial for effective AI-based systems, so the project could explore processes, artefacts, and practices for collecting, aggregating, cleaning, and managing large-scale financial data from
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upcoming SPHEREx data. The candidate will perform all levels of data analysis, from the processing of raw data to maps to power spectrum estimation of resulting CIB maps. The candidate will also have the