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creates technical, economic, and scale-up risks during implementation. These uncertainties result in higher-than-expected costs and limit widespread adoption. Breakthrough innovations are therefore needed
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creates technical, economic, and scale-up risks during implementation. These uncertainties result in higher-than-expected costs and limit widespread adoption. Breakthrough innovations are therefore needed
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terms of profits, resource efficiency, and carbon footprint. This PhD position is a part of the LEAP-AI project that will address these challenges in autonomous greenhouse control. The project team
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terms of profits, resource efficiency, and carbon footprint. This PhD position is a part of the LEAP-AI project that will address these challenges in autonomous greenhouse control. The project team
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-specific immunotherapies offer great promise as potentially curative interventions in autoimmune conditions. We aim to push the current limit of cellular therapies towards precise cellular immunotherapy
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to push the current limit of cellular therapies towards precise cellular immunotherapy using synthetic ligands that are designed to target autoreactive B cells specific to autoantigens that cannot be
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. We aim to push the current limit of cellular therapies towards precise cellular immunotherapy using synthetic ligands that are designed to target autoreactive B cells specific to autoantigens
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creative researcher with a strong affinity to work at the boundary of multiple disciplines, namely biocatalysis, bioprocessing, and multivariate data analysis. This includes the internal motivation to expand
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researcher with a strong affinity to work at the boundary of multiple disciplines, namely biocatalysis, bioprocessing, and multivariate data analysis. This includes the internal motivation to expand your
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unclear strategies for bias mitigation limit its effectiveness in practice. This PhD project addresses the following central research question: how can we design human-AI collaboration to mitigate biases