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Challenge: Predict long-term cardiac growth and remodeling in cardiovascular disease. Change: Develop multi-scale mechanobiological models for virtual human twins. Impact: Advance patient-specific
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Postdoc: Machine learning for wind flow prediction in coastal dunes Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 6
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at the Princess Máxima Center for Pediatric Oncology. You will lead the molecular characterization of astroblastoma, a newly recognized pediatric brain tumor type, using state-of-the-art multi-omics and integrative
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Job description Offshore wind energy is expanding rapidly, with larger turbines, higher power densities, reduced spacing between wind farms, and deployment in deeper waters. These developments
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Are you fascinated by atomic-scale control of materials for future semiconductor and energy technologies? We are looking for three ambitious postdocs to work on advanced atomic layer processing
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to macroscopic scales. The position is theoretical but relies on experimental collaborations that span these scales. Interest in developing at least one of these directions is welcome! The postdoctoral researcher
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Would you be interested in exploring how multi-agent aerial manipulation can contribute to construction, in particular by assembling a pavilion? Job description Advancement of aerial robotics
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? Join our team to develop next-generation multi-aperture ultrasound technology combining distributed sensing, adaptive acquisition, image reconstruction, and AI-driven imaging for groundbreaking clinical
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randomized control trial between 2018 and 2022 showing that a single half-day training dramatically increased adoption (Aker and Jack 2025), this project now seeks to scale those insights across other regions
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randomized control trial between 2018 and 2022 showing that a single half-day training dramatically increased adoption (Aker and Jack 2025), this project now seeks to scale those insights across other regions