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works closely with breast screening radiologists and industry to develop new and improve existing methods and processes in screening breast imaging. Our direct connection with the Dutch Expert Centre
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science, engineering, physics, mathematics or a similar domain. There is a strong preference for an applicant with a biomedical background. Experience with medical image processing, histopathology, computer vision
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Unravel the complexity of valve disease in heart failure using Digital Twin technology. Help transform how cardiologists decide when and how to treat patients through personalized computer
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for realizing the physical learning paradigm developed at AMOLF. You will integrate these memristive devices with the reconfigurable nonlinear processing units (RNPUs) developed in the NE partner group to harness
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different types of exercise limitations and muscle changes. Additionally, you will collect new data using non-invasive techniques like magnetic resonance imaging (MRI) and near-infrared spectroscopy (NIRS
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for medical imaging, tailored for deep learning. The high-level goal of the project is simple: to use anatomical knowledge and existing knowledge as training data for deep neural networks (instead of manual
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, Biomedical Sciences, Molecular Sciences, Nanobiology). Experience with the basal transcription process, DNA damage response or with live cell imaging and microscopic data analysis is an advantage but not
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23 Aug 2025 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Computer science » Informatics Computer science » Programming Engineering » Biomedical engineering
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. Train in cryo-TEM sample preparation, imaging, and interpretation, leading Nanoworx’ efforts in this area. Analyze and interpret data, delivering clear and concise reports, and contribute to team
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23 Aug 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Biological sciences » Biology Engineering » Biomaterial engineering Engineering » Biomedical