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cutting edge of medical physics, oncology, and imaging science, contributing directly to the future of pediatric care. Where to apply Website https://www.academictransfer.com/en/jobs/357579/phd-position-in
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resources. In this particular PhD-position you will have the opportunity to develop, optimize and validate advanced MR metabolic imaging methods, for 3T and 7 Tesla MRI, that provide quantitative maps
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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
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tissue with high spatial precision. This PhD project focuses on the development of surgical micro-robotic devices, with emphasis on micro- and nano-fabrication and optical technologies for sensing
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the selection process. About the department The PhD candidate will work under the supervision of Dr. Marcello Carioni and will be part of the group “Mathematics of Imaging and Artificial Intelligence” (MIA
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project COALESCE we aim for new fundamental insights on this paradigm, especially in the context of Parameterized Complexity and Fine-grained complexity of NP-hard problems. As a PhD candidate in the
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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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passionate Postdoc (exceptional PhD candidates may also apply) to join our team and develop the next generation of intraoperative neurosurgical image guidance. Currently, neurosurgeons lack real-time
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Microscopy, Quantum Scanning Microscopy, or related methods. Experience with FIB-SEM imaging and/or data processing, or enthusiasm for acquiring these skills. Experience with the MERRILL micromagnetic
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As a PhD student, you will be embedded in the research group Computational Imaging and