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, coordination, and decision-making algorithms for multiple autonomous agents—such as robots (robotic manipulators, drones, or vehicles)—that work together to achieve common goals in dynamic, uncertain
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University is looking for a motivated and independent postdoctoral researcher with an interest in evolutionary biology and systems biology. The position is for a minimum of 2 years (extendable to 3 years
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cell biology to ecology and evolutionary biology. Our faculty perform cutting edge research in a wide array of biological sciences in the laboratory and in the field. Our graduate research programs
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data Development of algorithms for infection and evaluation of infection hotspots in the plant population Coordination of the scientific interface to the project partners with regard to entomological
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mutational scanning. Basic qualifications: -Applicant should have, or expect to complete within a year, a Ph.D. in genetics, molecular biology, evolutionary biology, or a related field. -Demonstrated interest
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the context of algorithmic problems related to constraint satisfaction and graph homomorphism and isomorphism problems. It brings to bear significant new mathematical (algebraic and topological) methods
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the context of algorithmic problems related to constraint satisfaction and graph homomorphism and isomorphism problems. It brings to bear significant new mathematical (algebraic and topological) methods
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research funding. There will also be collaborations with industry stakeholders and actors in society. The work will be performed in the Lund Migration Group in the division of Evolutionary Ecology and
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: 11218 General Description: This position involves computer programming and algorithmic development in support of the research project Create a Job Alert for Similar Jobs Logo About Illinois Institute
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advanced statistical machine learning, reinforcement learning, and gen-AI-driven decision models for supply chain and operations optimization. • Design scalable algorithms for demand forecasting, risk