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carries out technological research in the areas of optical component technology, optical instrumentation (spectro-radiometric imaging instruments in the visible and infrared, interferometry, optical
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parameters based on paired visible-light and X-ray images. The developed techniques will be validated on real data. As a candidate, you must have a strong background in machine learning and computer vision, as
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project organisation skills. Your communication skills in English are excellent, both written and spoken. You have experience in: Image processing, medical imaging, and an interest in biomedical research
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neuroanatomy, neuroscience or a related field, and enjoy analysing neuroimaging data, scripting and data analysis? And are you passionate about medical imaging and its potential to improve our understanding
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interdisciplinary research project in molecular ultrasound imaging using functionalized, monodisperse microbubbles. The project aims to understand how the acoustic response of microbubbles changes upon molecular
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of imaging detectors, optical communication and quantum communication. Depending on the your interests, technical competences and project constrains in 2026/27, you will support one or more of these
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in physics or engineering including wave physics and signal processing Expertise in flow quantification and mapping with ultrasound imaging mandatory Extensive experience in programming (Matlab and C
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to explore related topics in Parameterized/Fine-grained complexity or Theoretical Computer Science at large. Your job In algorithm design, the paradigm of decomposition is omnipresent. In the 5-year ERC
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patients with cardiogenic shock and cardiothoracic surgery. You will work at the frontline where engineering, physiology, and critical care converge to shape the future of life-saving therapy. PhD Position
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robotic platforms, integration of optical and imaging-based feedback, and development of modeling and control strategies for operation in complex biological environments. Particular attention will be given