36 parallel-processing-bioinformatics PhD positions at Utrecht University in Netherlands
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microbial genome evolution across the tree of life using cutting-edge evolutionary bioinformatics. This PhD project offers hands-on experience with large-scale genomics, phylogenomics, gene annotation, and
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as well as field measurements; have demonstrable experience with statistical approaches, for instance within R or Python, bioinformatic or process-modeling experience would be an advantage; are able
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state-of-the-art implementations of these new techniques (e.g., by leveraging data-parallel functional array programming techniques); applying them to solve real-world problems (e.g., gradient estimation
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state-of-the-art implementations of these new techniques (e.g., by leveraging data-parallel functional array programming techniques); applying them to solve real-world problems (e.g., gradient estimation
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state-of-the-art implementations of these new techniques (e.g., by leveraging data-parallel functional array programming techniques); applying them to solve real-world problems (e.g., gradient estimation
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state-of-the-art implementations of these new techniques (e.g., by leveraging data-parallel functional array programming techniques); applying them to solve real-world problems (e.g., gradient estimation
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coexistence between humans and wildlife through policy analysis, stakeholder engagement, and collaborative processes. You will work with a diverse team of researchers and societal partners to explore innovative
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geological structures. Additionally, the cyclic nature of hydrogen injection and extraction complicates the flow process, influencing geomechanical behaviour and geochemical reactions. The interaction between
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computationally represent and learn evolving team norms in HI systems? How can we design AI agent architectures that integrate team norms into their decision-making processes to ensure that both AI and human
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research processes, patterns and dynamics of Earth’s systems from the mountains to the sea, and the interaction in between. This knowledge is essential for the sustainable management of our planet and to