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) and genetics data which are measured by longitudinally and cross-sectionally. • Developing and applying machine learning and AI approaches to identify interactive topological relationships
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testing of model-free algorithms for real-time optimization of turbine operating conditions (e.g., yaw set points). Other projects may be assigned by the supervisor depending on skills and technical needs
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Department/Location: Department of Genetics Applications are invited for a Postdoctoral Research Associate position to work in the group of Dr Felipe Karam Teixeira (https://www.gen.cam.ac.uk
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networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis
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), National Animal Disease Center, Virus and Prion Research Unit, located in Ames, Iowa. For an introduction to the flu-crew at the National Animal Disease Center, please see: https://youtu.be/kOJy8tFTuiI
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well as genetic and non-genetic sources of inter-individual molecular variation, with the ultimate goal of better understanding human biology and disease. We will achieve these goals by developing novel and
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-solving person with a strong background in bioinformatics and previous experience with next-generation sequencing (NGS), ideally in cancer genetics. In particular, familiarity with the analysis of whole
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interactions, nuclear structure and reactions, electroweak structure, and lepton-nucleus scattering. The candidate will contribute to advancing statistical and computational algorithms to extend the capabilities
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, fined tuned for zooming in on machine spatial reasoning, is within the scope of this project. Developing efficient algorithms for converting computer simulations of a system in a complex environment (e.g
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, fined tuned for zooming in on machine spatial reasoning, is within the scope of this project. Developing efficient algorithms for converting computer simulations of a system in a complex environment (e.g