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17.11.2025, Wissenschaftliches Personal The Chair of Computing in Civil and Building Engineering (CCBE) at Technical University Munich invites applications for the position of a Research Assistant
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strong upper second-class undergraduate degree in Chemistry, Physics, or a related discipline such as Mathematics or Computer Science, are encouraged to apply. The candidate is expected to have a strong
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, they can utilise temporal and spatial diversity whilst simultaneously exploiting shared, intelligent adaptive signal processing whose combined performance and resilience can easily exceed that of the sum
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will also work closely with our industrial partner on process engineering for a scalable prototype facility and product output testing. The successful PhD student will be supervised by Prof Anh Phan from
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organizational levels of the brain – from molecular and cellular processes to complex neuronal networks and behavior. In association with the SFB 1436, Neural Resources of Cognition (supported by the German
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imaging method at synchrotron radiation facilities, particularly PETRA III at DESY. Samples, be they biological or from materials science, often have a hierarchical structure that determines their function
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expertise in AI and biomedical computing at the School of Biomedical Engineering & Imaging Sciences. The work will be done in close collaboration with a multidisciplinary team at KCL, UCL and with clinicians
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Knowledge of medical imaging Good knowledge of image processing Good knowledge of signal processing Good knowledge of AI for medical imaging Ability to use computer programming tools Ability to use word
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robotics, electrical engineering, or computer science, with a strong background in robotic control, computer vision, and image processing – ideally in the context of computer-assisted surgery. You bring
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and technology. Desirable (not essential): Research experience in sports medicine and technology (e.g. publication or final year project). Programming skills in MATLAB or Python. Application Procedure