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, shipping and architecture. With scientific excellence as a basis, Chalmers promotes knowledge and technical solutions for a sustainable world. Through global commitment and entrepreneurship, we foster
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from multiple departments. The aim is to develop and apply multimodal 3D imaging and analysis frameworks to quantify tissue architecture and protein expression in paraffin embedded tissue samples
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develop and apply multimodal 3D imaging and analysis frameworks to quantify tissue architecture and protein expression in paraffin embedded tissue samples at scale. By integrating AI-drive image analysis
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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technologies, including drones, robotics, and self-driven laboratories. The appointees will engage in research on the development of intelligent hybrid power architectures to support autonomous operation in
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 18 days ago
analyze models such as NASA’s Prithvi, alongside other relevant foundation-model architectures and fine-tuning strategies. For initial model development and fine-tuning, the participant will learn
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 1 month ago
and organoid systems that capture key aspects of tissue architecture, cellular heterogeneity, epithelial-stromal interactions and disease-associated states (Dowbaj et al., Nature 2025; Yuan et al
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-dominated grids, protection systems, and wide-area dynamics. Scalable algorithms and numerical methods for large-scale simulation. Scientific software and software architectures for next-generation simulation
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on advanced membrane architectures, including 3D-printed structures and hollow fibers. • Contribute to the dissemination of project results through the preparation of technical reports, project deliverables
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optimization of large language models (LLMs) and related architectures for generative tasks, continuous learning, indexing or retrieval, support of retrieval augmented generation over many data points from long