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Lab at Delft University of Technology and lead the instrumentation development for BEAMSurf: Diffractive Atomic-Scale Surface Imaging with Backscattered Electrons, an ERC Starting Grant project led by
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processing, machine learning, computational imaging, and clinical translation. Beyond your individual research contributions, you will serve as a technical coach for the PhD researchers, helping to align
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and apply AI and machine learning methods for signal processing, image analysis, data fusion, and prediction; · build physics-informed and hybrid AI models that combine geophysical knowledge with data
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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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website: https://www.esa.int/ Field(s) of activity/research for the traineeship Main objectives of the Research Fellowship Cognitive cloud computing in space (3CS) is emerging as a key paradigm for future
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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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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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subsequently be applied to other difficult-to-treat cancers. Your colleagues: You will join the group of Marc Vooijs in the Radiotherapy department at Maastricht University and Maastro Radiation Institute
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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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this is your opportunity! For a collaborative project with Department of Nuclear Medicine and Molecular Imaging, Particle Therapy Research Center (Partrec) and SHINE Europe BV, we are looking for a