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22 Oct 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Medical sciences Researcher Profile Recognised Researcher (R2) Country Netherlands
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intelligence, biomedical engineering, medical image analysis, or a closely related field You have a strong publication record with first-author work in the domain of AI in health You have expertise in deep
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and document analysis. Explore what data are available on essential health resources and supporting systems, and assess their usefulness. Co-create a regional risk picture by facilitating workshops
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psycholinguistics, brain-computer interfaces, robotics, cognitive modeling of language, computational linguistics, educational technologies, computational modeling of evolutionary and adaptive systems, image and
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-efficient artificial intelligence (AI) applications. However, this new computing paradigm faces various design challenges in terms of design and technology challenges, application mapping and reliability
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. Reporting: Communicate findings to project partners with diverse backgrounds (e.g., space systems engineering, astrobiology, microfluidics) to support the development of a prototype LMCOOL instrument for
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://www.academictransfer.com/en/jobs/355391/postdoctoral-researcher-machine… Requirements Specific Requirements You hold a PhD degree in Computer Science, Data Science, Biomedical Engineering, or a closely related field, with a
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US images and histopathology. Integrate multimodal data: Align histopathology slides with 3D ultrasound reconstructions. Refine imaging technology: Explore improvements in ultrasound physics
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solutions for imaging and treatment planning workflows. Collaborating with physicists, engineers, and biologists to align technological developments with biological research needs. Supporting radiobiology
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intersection of AI, imaging technology, and oncological surgery. Ideal candidates will have: A Master's degree in artificial intelligence, bioinformatics, computer science, physics, mathematics, or a similar