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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-driven approaches
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large-scale pretraining. Experience with medical imaging, particularly CT, and associated image formats or processing workflows. Familiarity with DICOM, NIfTI, image registration, segmentation, or
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | about 2 months ago
on flow measurement techniques and PIV; Familiarity with optics, lasers, image processing and statistical data analysis Familiarity with flow modelling techniques (CFD) or machine learning for fluid
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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | about 2 months ago
and PIV. Familiarity with optics, lasers, image processing and statistical data analysis. Familiarity with flow modelling techniques (CFD) or machine learning for fluid flows. Aptitude for team work
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characterize subsurface structures, buried infrastructure, and material properties; · develop and apply AI and machine learning methods for signal processing, image analysis, data fusion, and prediction
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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | 2 months ago
, mechanical testing or laboratory instrumentation. Experience with full-field optical methods, image processing, high-speed imaging, cryogenic testing, composites, numerical modelling or non-destructive
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research will span a broad range of modelstopics, including deep learning, causal machine learning, distributed learning, unsupervised learning, foundation models, natural language processing, and
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welcomed. Experience with droplet generation, thermal diagnostics, image processing, or automated experimental control would be advantageous, but is not required. Strong verbal and written
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Intelligence, or a related field; Good knowledge of and experienced with Machine learning, Image processing, and Computer Vision techniques; Highly motivated to both perform foundational research and apply the