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for anomaly detection Design multimodal learning approaches that fuse image data with time-series sensor data for monitoring powder bed fusion processes Develop and maintain research codebases for training
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familiar with at least 2 of the following techniques: cell culture tissue histology, immunostaining high resolution imaging (fluorescence / electron microscopy) gene and protein expression assays size
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, production-quality systems. We are seeking an expert in 3D garment reconstruction from multi-view images to join our team at the ETH AI Center. Project background We are looking to fill this role as part of
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energy transfer, developing and employing computer simulations, laboratory experiments, and field analyses. Our aim is to gain fundamental insights and develop sustainable technologies to address societal
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motivated individual to develop Python tools for analyzing data from our holographic cloud particle imagers. Our research group studies the crucial role of clouds and aerosols in the climate system, aiming
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80%, Zurich, fixed-term The Laboratory of Molecular Medicine, led by Prof. Yohei Yamauchi, is developing the ViViD-AFM V2.0—a next-generation nano-imaging system. This project focuses
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of mathematics, computer science, and evolutionary biology. We develop methods to understand evolutionary, ecological, epidemiological, and developmental processes on different scales based on genetic data. In our
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100%, Basel, fixed-term The Computational Biology (CoBi) group, led by Prof. Dagmar Iber, develops data-driven, mechanistic models of biological systems using advanced imaging and computational
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-throughput screening workflows and preparing samples for metabolomic analysis. Skills in quantitative image analysis, data processing pipelines, and introductory computational modelling. Competence in
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100%, Zurich, fixed-term The Laboratory for Bone Biomechanics (LBB) at the Institute for Biomechanics at ETH Zurich is offering a Postdoc position in multiphoton intravital imaging of heterotopic