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combines microfluidics, bubble physics, and ultrasound signal processing to bring nanobubble imaging closer to clinical use. You will collaborate closely with a fellow PhD candidate, a postdoc, and a
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. Bert Koopmans, based at Eindhoven University of Technology. PhD candidate 1 will explore fundamental processes underlying the deterministic creation and annihilation of sub-diffraction limited skyrmions
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identifying real households or companies. But energy data is not like images or text: it consists of time series living on a physical network, governed by power-flow equations. Off-the-shelf generative models
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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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requires detailed imaging, beyond what is currently possible in humans in vivo. In an NWO-funded Vici project, we leverage Ultra-High Field MRI to bring the cerebellar mesoscale into view. In this PhD
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an image. Modern inverse freeform design methods compute surfaces that convert a given source light distribution to a desired target light distribution. These can be used to guide the design process for
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description A 4-year PhD position is available
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of Amsterdam, under the supervision of Prof. Noushine Shahidzadeh (expert on crystallization and sol-gel process in confinement) and Prof. Hannelore Derluyn (expert in micro-CT 3D imaging for porous media
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at the intersection of computer vision, micro-electronics analysis, and hardware security, and will work under the supervision of researchers within the Department of Intelligent Systems. The PhD researcher will be
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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