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develop the urgently needed system understanding, data analysis tools, and forecasting models for science and expert users, and co-create common ground among stakeholders for future-proof coastal
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boundaries in the (mental) healthcare system. As a postdoctoral researcher in this project, you will conduct in-depth empirical studies on the dynamics of responsible scaling in digital mental healthcare
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will then expand this pipeline to optimise the yield and especially the robustness of the cell-free expression system. The result will be synthetic cells that can be used across the consortium to degrade
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semiconductor devices such as field programmable gate arrays, advanced synchronous dynamic random-access memories, microprocessors and system-on-chip devices. The research will focus on the development of
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AI methodology while seeing how model predictions perform in a real biological and agricultural system. In this position you will part of an interdisciplinary research environment spanning the AI
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to 12 extra days through compensation hours. Flexible working hours, a home office allowance, and the option to work from home. Freedom and space to shape your work independently and develop your
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fundamental physics. Within ESA’s Directorate of Science, the Science Engagement and Oversight Office (SCI-E) and the Science and Operations Department (SCI-S) host the scientists and engineers that oversee
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. This project is trying to resolve this problem, by establishing the scientific principles for a physics-based design and production system of advanced assembly methods for TPCs at an industrial scale
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evaluation of health-system-strengthening strategies, helping to guide fairer and more efficient healthcare policy in low- and middle-income countries. Job requirements We are looking for a highly
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of innovative space-system concepts, and propose new deep-learning-based models and studies that can inform and enable such concepts, for example in autonomous operations, scientific data analysis or