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develop and apply computational approaches to identify policy strategies that are politically feasible and compatible with changing land-use demands, while also considering the distributional impacts
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work closely with another PhD student and a post-doc to collectively investigate the failure mechanisms and the generation of high-quality sensor data. Your profile MSc in Materials Science or Mechanical
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research project developing novel chemical probes and degraders to dissect mechanisms of adverse effects in cancer and metabolism. For a summary of the latter see: p3.snf database ii) In parallel we
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materials and devices based on nanoscale surface effects, utilizing a combination of experimental and computational approaches. We are looking for a highly motivated PhD candidate fascinated by quantum
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100%, Zurich, fixed-term The Plant Ecology Group at ETH Zürich is seeking an enthusiastic PhD candidate to study the factors underlying the success of assisted migration of mountain plants
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. You'll work at the exciting intersection of experimental materials science and materials informatics, collaborating with CSEM and EPFL in a Swiss National Science Foundation (SNF) Bridge Project. Your
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. The objectives of the advertised PhD position are to: Assume responsibility for recruitment of participants, data entry and data management, development of follow up surveys, testing of psychometric properties
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broader research agenda focused on how digital infrastructure and computational tools can support (or hinder) progress toward effective, coordinated, and equitable biodiversity governance. Research topics
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technologies to characterize animal genomes, and apply bioinformatics and statistical genomics approaches to identify trait-associated sequence variation. We offer a PhD position at the interface
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institutions, to build a framework for discovering, sharing and executing data and algorithms in a distributed environment. The main technology will be Python, though Scala and Typescript knowledge are a plus