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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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arthroplasty and surrounding natural tissues Apply patient-specific boundary conditions from musculoskeletal simulations performed by a collaborating post-doc in the institute Perform parametric variation
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G. M. Silva, within the group of Prof. Roman Stocker, and focuses on the development and deployment of a new‑generation underwater imaging device to transform drift studies in riverine ecosystems. It
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, despite their shared underlying mechanisms. A promising direction for AI in healthcare is the seamless integration of clinical image-based foundation models that can be fine-tuned across multiple use cases
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range of topics related to imaging with geophysical data. Our research focuses on mathematical methods for processing, imaging, and inversion of geophysical data, the physics of wave propagation, and the
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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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., lecturers, curriculum developers, student organizations). The interviews serve to collect best practices and gain a nuanced picture of the expectations, challenges, and concerns surrounding sustainability and
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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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computer scientists Contribution to open-source development and research-driven prototyping Integrate image processing and graphics pipelines using existing libraries (SLAM, Structure-from-Motion, radiance
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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