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Missouri University of Science and Technology | Rolla, Missouri | United States | about 15 hours ago
positions in the laboratory of Dr. Sen Xu. Dr. Xu is seeking a motivated and independent postdoctoral scholar to contribute to federally funded research projects focused on evolutionary and environmental
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a doctoral degree in one of the relevant fields (e.g., Plant Genetics and Breeding, Plant Biology, Genomics, Evolutionary Biology), or currently be pursuing the degree to be received by January 1
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theory, Extremal Graph Theory, Combinatorial Optimization, Matroid Theory, and Algorithms. This appointment is for about two years, and the starting salary is no less than KRW 66,000,000. The appointment
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of optimization and generalization to inform the design of practical training algorithms. To produce high-quality publications in top-tier machine learning conferences and journals. To offer guidance and assistance
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experience leading computational research projects is required for the proposed research. Expertise in population or evolutionary genetics is preferred but not required. Required skills: · Experience with
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algorithm code base including noise reduction, acoustic echo cancellation, automatic gain control, voice activity detection, packet loss compensation and other audio enhancements Software development of new
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sensors, and other sensing technologies. Develop object detection, segmentation, tracking, and pose estimation algorithms. Develop navigation, localisation, path planning, and collision avoidance algorithms
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knowledge of agentic AI/AI workflows, parallel computing, algorithms, and system performance analysis and optimization. Proficiency in programming languages such as C/C++ and Python. Demonstrated ability
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prediction algorithm and molecular dynamics simulations. For more details, please view https://www.huilingshaogroup.com/. We are looking for a Research Assistant to design and execute independent and
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appendages across diverse vertebrates. You will collaborate with developmental biologists, geneticists and evolutionary scientists across the Faculty of Science. The team offers strong technical support