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the research platform, support interdisciplinary projects that integrate multiple data sources, and use high-performance computing resources to manage, process, and analyse large environmental datasets. Job
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tracking of minimally invasive robotic systems Autonomous control in uncertain anatomical environments Computer vision for image-guided robotic procedures (incl. endoscopic, MR-, US-guided) Surgical training
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CAD packages (Autodesk Revit, Archicad and cadwork3d) and work in a multi-disciplinary team of software engineers, architects, computer scientists Your projects will include multi-disciplinary
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: Biomaterials Engineering Laboratory . For questions regarding the position please contact Prof. Dr Xiao-Hua Qin (no applications). We would like to emphasize that the pre-selection process is conducted by
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experimental information available, which hinders the disentanglement of intertwined processes. The Ph.D. candidate will work in the subgroup of Dr. Dmitry Zimin and focus on realizing novel experiments
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Digital Processes: Integrated information management from office to site, incl. visual analytics and LLM-enabled processes. Intelligent, Collaborative Project Delivery: Greater data transparency and multi
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), lower back pain, neuro-degenerative disorders and neurological tumors. At the core of our research is the collaboration across disciplines spanning expertise in medicine, biology, computer and data
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. Interest and experience to collaborate with computer scientists, natural scientists and to engage with students, policy makers, and publics on ethical, social and political aspects of digital technologies
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this goal. In this capacity, you will ensure that research insights are translated into actionable knowledge, tools, and processes for practitioners and decision-makers (see ‘Duties/Job Description’ for
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processes, and environmental fluid dynamics. We use a broad spectrum of technologies in microbiology and microfluidics, as well as advanced imaging techniques, and are a large (approx. 35 members), highly