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to advance understanding of how microbial interactions and metabolic processes shape the ability of probiotic bacteria to colonize the infant gut. The methodology integrates metagenomics, metabolomics, and
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experiments to unravel the separate and interactive effects of predation, facilitation, and competition under different environmental conditions, such as temperature, wave exposure, and freshwater. I work
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optimization for the compute continuum, across cyber-physical systems (CPS), distributed artificial intelligence (AI), and high-performance computing (HPC), from the data center to the edge devices
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, reliable, and efficient power systems by leveraging advanced control and optimization approaches. I focus on real-time and cyber-physical co-simulation techniques to design and validate intelligent energy
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data • Solid knowledge of R, python and/or similar programming languages • Experience with teaching scientific methods • Experience with interdisciplinary science • Interaction with nature
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data • Solid knowledge of R, python and/or similar programming languages • Experience with teaching scientific methods • Experience with interdisciplinary science • Interaction with nature
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in developing such competence Experience with interdisciplinary research Experiences from interaction with public policy and management and with stakeholders Knowledge of biodiversity governance
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of WP5 of MishMash, with the possibility of contributing to additional work packages. It welcomes projects investigating how artificial intelligence is reshaping cultural production, circulation, and
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. This entails interaction with user groups, policy- makers and practitioners. Field experience. Field experience is important for gaining deep insight about development challenges. Versatility. Working at CMI, it
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investigating how artificial intelligence is reshaping cultural production, circulation, and valuation at scale. Possible areas of focus include transformations in creative labor, audience experience, and