214 web-programmer-developer-"https:"-"https:"-"https:"-"U.S" positions at ETH Zurich in Switzerland
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We seek a highly motivated PhD student for a multidisciplinary project across two groups: (i) The Surface Earth Evolution (SEE) group in the Department of Earth and Planetary Sciences at ETHZ is
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for Electronics and Microtechnology(CSEM), are searching for a PhD student to develop CRISPR–Cas-based electrochemical biosensors for multidrug resistant Mycobacterium tuberculosis (MDR-MTB). This work is funded as
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mechanistic investigations of polymer biodegradation using advanced analytical approaches. We translate our scientific insights into practice by supporting the development of next-generation biodegradable
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grid components (e.g., transformers, switchgear, control systems). Second, building on firm-level product classification methods developed at KOF, we infer firms’ product portfolios from website content
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, ready to expand and integrate your expertise into the wider context of pressing research domains in building and urban design, and thriving to formulate and develop your own research field? Have you
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is dedicated to bringing healthy food from fields to tables around the world for generations to come. (ii) The Surface Earth Evolution (SEE) group in the Department of Earth and Planetary Sciences
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-view images. Job description Develop and improve methods for 3D garment reconstruction from multi-view image data Research and implement techniques for appearance capture and material modeling, including
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appropriate solutions. This approach will also be adapted to Malawi, where organic waste supply chains are less developed, allowing the project to generate comparative evidence on barriers and enablers across
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that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions
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cohorts that had array- or short read sequencing-derived genotypes will be developed. The resulting genotypes will be tested for association with complex traits using methods that allow to account for