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Your Job: The conventional, manual co-design of algorithms and hardware is slow and inefficient. Our group develops methods and tools to automate the co-design process. The core of this project is
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research unit attached to the CNRS, the University of Bordeaux and the Ministry of Culture. Its research focuses on the evolutionary, cultural and symbolic history of past populations in relation
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biology and bioinformatics, as well as in Machine Learning (including Large Language Models). Good understanding of evolutionary and molecular biology concepts, and good statistical (data analysis) and
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development and application of novel algorithms and machine learning/AI techniques for extracting insights from biological data sets (genomics, proteomics, imaging, neuroscience), and related areas
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circuit design, the development and application of novel algorithms and machine learning/AI techniques for extracting insights from biological data sets (genomics, proteomics, imaging, neuroscience), and
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of Computer Science has internationally known research groups in a number of areas, including AI and machine learning, cloud and mobile computing, computer system and information security, evolutionary computation
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problems and have published research in this field. You possess excellent knowledge of constraint programming and evolutionary algorithms for scheduling. A high level of motivation and commitment
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programming and evolutionary algorithms for scheduling. A high level of motivation and commitment to successfully completing your doctoral studies within the planned timeframe. Cooperative, team-oriented, and
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problems and have published research in this field. You possess excellent knowledge of constraint programming and evolutionary algorithms for scheduling. A high level of motivation and commitment
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Learning algorithms to identify gene content profiles that may underpin relevant phenotypic traits in existing eukaryotic species and their ancestors, and to explore the role of horizontal gene transfer in