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of volume rendering, ray tracing and ray casting techniques. You have 1) experience with or 2) a strong background in medical visualization, computer graphics, medical image analysis. Preferably you finished
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, this requires the development of novel deep-learning methods that can process Imaging radar data on resource-constrained devices, and perform standard automotive perception tasks, such as object detection and
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measurements and analysis of the microfluidic system. During the project, you will collaborate with our industrial partners as well to test the prototype. Embedding : The postdoc will be embedded in
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research tracks: freeform design, imaging optics and improved direct methods; for more details see https://www.win.tue.nl/~martijna/Optics/ . The following mathematical disciplines are important in our work
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. The candidate should have background knowledge in image processing, experience in working with 3D (or multi-view) geometry and excellent programming skills. Experience with depth data, point-cloud data
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in image processing between machine learning and traditional PDE/geometry-based methods. The focus in the group GLDG supported by VICI project “Geometric Learning for Image Analysis” (R. Duits) is on
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image processing domain and excellent programming skills. More specifically, the candidates should have experience in object detection, segmentation and classification. Experience with anomaly detection
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environment in which we spent ~90% of our time? This PhD research, as part of a larger project, may initiate a paradigm shift in how we ventilate our buildings. Interested in this exciting challenge? Then
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Networks (ONNs) computing paradigm for edge AI applications and algorithms, including classification, sensor signal processing, decision-making, online learning, reinforcement learning, and more. ONNs
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, which you can use to predict the performance of different concepts and to help guide the design process for arriving at an optimized prototype. After selecting the most promising sensing principle for IOP