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mathematical models to address fundamental questions in biology. Examples of research topics include but are not limited to: development of new AI architectures for biology and hybrid models that combine deep
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evolution, polyploidy, and algal biology and evolution. The candidate will join a highly collaborative and international research environment, with strong connections to major polyploidy initiatives
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
but are not limited to: development of new AI architectures for biology and hybrid models that combine deep learning with mechanistic models; foundation models of genome regulation using single-cell and
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evolution, polyploidy, and algal biology and evolution. The candidate will join a highly collaborative and international research environment, with strong connections to major polyploidy initiatives
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of transmembrane β-barrel nanopores. The group provides an interdisciplinary environment where computational method development is closely integrated with experimental validation and large dataset
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of transmembrane β-barrel nanopores. The group provides a highly interdisciplinary environment where computational method development is closely integrated with experimental validation. The successful
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of transmembrane β-barrel nanopores. The group provides an interdisciplinary environment where computational method development is closely integrated with experimental validation and large dataset
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of transmembrane β-barrel nanopores. The group provides a highly interdisciplinary environment where computational method development is closely integrated with experimental validation. The successful
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camera system for acquiring plant seedlings in the visible spectrumDesign and programming of computer vision software to extract plant phenotypic dataCatalyze the development of the system from prototype
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camera system for acquiring plant seedlings in the visible spectrum Design and programming of computer vision software to extract plant phenotypic data Catalyze the development of the system from prototype