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Engineering, Electrical Engineering, Medical Imaging, Applied Physics, Computer Science, or a related field. Strong affinity with ultrasound imaging, signal processing, medical image analysis, or computational
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of next-generation targeted cancer therapies while working with world-leading imaging technologies in an international research environment? Then this fully funded PhD position at the Maastricht MultiModal
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5 Sep 2026 Job Information Organisation/Company Radboud University Medical Center (Radboudumc) Research Field Engineering » Biomedical engineering Engineering » Computer engineering Researcher
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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 produce data
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methods, image processing, high-speed imaging, cryogenic testing, composites, numerical modelling or non-destructive testing is an advantage. You can work independently while collaborating effectively with
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; Proven competence on flow measurement techniques and PIV; Familiarity with optics, lasers, image processing and statistical data analysis Familiarity with flow modelling techniques (CFD) or machine
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slurries, improve our understanding of blood flow, and support the development of sustainable manufacturing processes. This PhD position is part of the ERC Advanced Grant project IDeS and you will join a
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PhD Position on Predictive Plant–Microbiome–Pathogen Interactions Faculty: Faculty of Science Department: Department of Biology Hours per week: 36 to 40 Application deadline: 1 October 2026
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technology be designed and evaluated so that it is usable, acceptable and aligned with users’ communication preferences and everyday lives? Your role Your PhD will primarily focus on computer vision and
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PhD in Computational Imaging for High-Throughput Applications (1.0 fte) As a PhD student, you will be embedded in the research group Computational Imaging and Deep Learning (CIDL), part of