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onsite consortiummeetings ensure a thriving international collaborative research network. Your role will be to investigate novel immune checkpoint targeting strategies using genetically engineered immune
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to ESA’s strategy; a wide network of relationships and collaboration with top academia, industry and research centres; the opportunity to contribute to the Φ-lab strategy and activities. As an internal
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. This project aims to develop and optimise measures that maximise interseasonal water retention during droughts while allowing for flood risk mitigation during high-flow periods (e.g. hierarchical networks
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, and social networks, cluster within families, and how they, in combination with molecular profiles, relate to the physical living environment, health outcomes, and lifespan. This knowledge will then be
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to articles to be published in international peer-reviewed journals; Assist in the supervision of the project’s PhD candidates in their doctoral research; Develop a network of academic and non-academic partners
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approaches. What we ask of you Required PhD in machine learning, physics, or a related field. Established expertise in deep learning (familiarity with graph neural networks, transformers, diffusion and flow
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TRL 6-7 enabling LDES for 8+ hours to address energy transition goals and challenges in net congestion. Six pilots will be deployed and validated to demonstrate LDES market potential. The goal
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PhD candidates in their doctoral research; Develop a network of academic and non-academic partners for the purpose of developing grant proposals; Support and/or coordinate grant proposals in
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group. You will be able to establish new collaborations with the collaboration network of Anurag Bishnoi. You will have travel money for attending (on average) two international conferences per year. You
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to achieving net-zero emissions and keeping our planet within its safe operating space. Yet, these transitions are deeply shaped by social dynamics, by how people cooperate, organize, and sometimes resist change