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. ENDOTRAIN will train a new generation of interdisciplinary experts who merge clinical endocrinology, artificial intelligence, data science, engineering, ethics and law into an integrated field of digital
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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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100%, Zurich, fixed-term The upcoming Molecular Engineering Thermodynamics (MET) Group at ETH Zürich is looking for a doctoral student to develop and improve computational tools for the molecular
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applications in molecular biology, microbiology, and cell biology (e.g. PCR/qPCR, NGS library prep, cell-based essays, high-content screening, microbial cultivation, cloning) Train and advise users on automation
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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
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, fluency in written and spoken German is preferred Workplace Workplace We offer Excellent research infrastructure and supportive work conditions Support for developing your own research agenda and network
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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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for the BEACH (Bedretto Energy Storage and Circulation of Geothermal Energy) and FEAR (Fault Activation and Earthquake Rupture) projects. BEACH aims to demonstrate and develop fractured thermal energy storage