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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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light on the human brain’s unique vulnerability to vascular disorders. What you do Develop scalable, robust, and reproducible data-analysis pipelines (statistics, mathematical modeling, and ML
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-on-physiological-m… Requirements Specific Requirements We are looking for highly motivated, enthusiastic and curiosity-driven researchers: You have, or are about to get, a master’s degree in biomedical engineering
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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? Generative AI and large-language models (LLMs) are about to turn computer-aided engineering into true human–AI co-design. In the new MSCA Doctoral Network GenAIDE we team up with Honda Research Institute
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-analysis pipelines (statistics, mathematical modeling, and ML) for terabyte-scale 3D histology images, from preprocessing to analysis and validation. Handle and visualize large 3D microscopy datasets. Image
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Engineering offer a 4-year M20 (Ubbo Emmius) Program funded PhD position for a project titled “Grassroots retrofitting: Towards community empowerment and fair residential energy transition using community-based
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The Faculty of Spatial Sciences together with the Faculty of Science and Engineering offer a 4-year M20 (Ubbo Emmius) Program funded PhD position for a project titled “Grassroots retrofitting
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sensing hardware into a high-throughput sorting line is a plus. Proficient in developing, training, and deploying AI-driven sensor-fusion pipelines, including preprocessing, deep-learning model
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-year NWO M1-funded PhD position for a project on “Social Ageing: Social environment effects on senescence, using an epigenetic clock”, with the Seychelles warbler (Acrocephalus sechellensis) as a model