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requirements and priorities. Strong skills in data analysis, image processing, and programming (e.g., Python/C++). Demonstrated experience in publishing scientific journal papers. Fluent in English (oral and
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with scientific programming and quantitative data analysis, particularly in Python, is welcomed. Experience with droplet generation, thermal diagnostics, image processing, or automated experimental
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multiple research tracks. You will work closely with three PhD candidates focusing on different clinical applications, while leading developments in acquisition, probe localisation, adaptive imaging, and
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Explore fundamental spin physics at the interface of acoustics and MRI, and help develop a new imaging contrast sensitive to microscopic magnetic-field inhomogeneities. Job description We
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(adaptive) imaging strategies and reconstruction. The research combines ultrasound physics, signal processing, machine learning, computational imaging, and clinical translation. Beyond your individual
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systems in the Netherlands! Job description Spaceborne radar systems has proven to be effective tools for broader applications from high-resolution imaging to altimetry. In TU Delft, we are openning a 2
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diversity of platforms and building blocks. The foundry model is now becoming established where Process Design Kits (PDKs) allow fabless designers to create their own chips with custom functionality. While
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of differences in background, experiences, perspectives, and identity. For more information, see also our page about our diversity policy . Our selection procedure follows the guidelines of the NVP application
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Postdoc: AI-driven Urban (Re)Design for Health Faculty: Faculty of Geosciences Department: Department of Human Geography and Spatial Planning Hours per week: 36 to 40 Application deadline: 15
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the HAICu fieldlab ‘Deep Journalism’, which develops functionality for searching for items about a similar topic from different archives and with various modalities to support news journalists. As a postdoc