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communications, computing, metrology, sensing or ranging. Yet, it relies on the availability of broadband tunable, narrow linewidth, and bright microwave sources that can be used to excite a high
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experimental methods and causal inference with strong data management skills, a broad understanding of the social sciences (ideally including corruption studies) and a keen interest in testing
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established research group Sustainability and Behavior Change. The group combines methods and insights from different fields of the behavioral sciences to understand how environments and behavior change
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candidates interested in pursuing an academic-oriented PhD with focus on private markets. The researcher will benefit from hands-on experience with research methods and opportunities to work closely
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. This project develops robust system and component design methods, an integrated manufacturing platform, and multi-material joining techniques to efficiently produce small-scale turbomachinery
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, and on the intersection between private-sector action, social impact, and technology. Knowledge of statistics (e.g., quantitative methods, causal inference) and high willingness to engage in multi
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material science, yet characterizing complex mixtures remains one of the great analytical challenges, because current methods are limited to ensemble averaging. In this project, you will develop protein
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analysis in the framework for the project CARE (Cross-modal AI for Relief Efforts), a collaborative project between EPFL, ETH and the ICRC. You will innovate in foundational methods for jointly
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of methods for converting 3D printed polymers into metals. We previously pioneered a technology called Hydrogel Infusion Additive Manufacturing (HIAM) that is capable of transforming polymers into
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will be collected through participant observation and various qualitative interview methods. The research will include 12 months of ethnographic fieldwork in Kosovo (Pristina) In addition to writing