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with omics and clinical data to generate actionable insights; you will collaborate with the other members of the group as well as with experimentalists and clinicians to translate findings into practice
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availability of data and connectivity through the Internet of Things create new opportunities to incorporate real-time insights into decision-making, combining tractable modelling with provably efficient
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samples and disease models. Working closely with a dynamic and multidisciplinary team of clinicians and scientists, you will help generate and interpret high-resolution datasets that reveal new insights
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of clinicians and scientists, you will help generate and interpret high-resolution datasets that reveal new insights into disease progression, with the ultimate aim of identifying novel biomarkers and therapeutic
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of the interaction between the material and the electrolyte. With these insights, alternative active material compositions could be proposed to improve lithium insertion or enhance the interaction with the electrolyte
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and forms of knowledge mobilised by them. In particular, in-depth ethnographic fieldwork at selected institutions will provide insights into how knowledge of existential risks is being produced in
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catalogue of energy-aware SQL optimizations, ensuring that the modeling insights are translated into practical guidance for developers. In relation to the collaboration, occational travels are expected
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education settings. Insights gained from this research will contribute to the continuous and reflective development of pedagogical practices, providing evidence-based guidance for institutions and supporting
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. For an insight into the project’s work, please see the project website:https://colvet.eu/ This post is funded by the European Union under Grant No. 101115749. Views and opinions expressed are however those of
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biomass for food. We do frontier applied science, meaning that we link fundamental understanding to societal usage. In doing so, we aim to actively support managers with the insights needed for ecosystem