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Field
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THR demand in younger patients expected to increase fivefold by 2030, revision surgeries will also rise. To improve implant positioning, image-guided navigation is increasingly used in complex THR
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for multimodal machine learning, combining large-scale image data with molecular profiling and clinical data. This includes, for instance, research on deep learning-based image analysis and data assimilation
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or biophysics, quantitative image analysis and programming experience with Python are beneficial but not required. We particularly encourage women and candidates from other groups which are currently under
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of front-end electronics and miniature RF antennas for chronic implantation. You will prototype and characterize the wireless link (power + sensing), design and optimize sensor-resonator coupling, and
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concerned, among other things, with the effects of images and the mechanisms that make up communication with images. Key questions are: Who produces images and for whom? What message do these images convey
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communication skills and a collaborative mindset Full professional proficiency in English Good to have: Hands on experience with at least one paradigm for quantum optimization with quantum computing (QAOA
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, imaging or biochemical methods is helpful. OUR OFFER Highly motivated team Flexible working hours World-class institute with an outstanding working environment The payment is based on the TVöD guidelines
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-pathogen interactions and feedback, using a combination of quantitative imaging, microfluidics, statistical analysis and machine learning tools. A specific focus will be put on discovering biophysical
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? The Villum Investigator group will (eventually) consist of three postdocs, three PhD students and will be part of the section for Theoretical High Energy Physics, Astroparticle and Gravitational Physics
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to applicants with experience in brain aneurysms. - The applicant should have proficiency in bioimaging, including: multiphoton microscopy, microCT imaging, electron microscopy, classical histology