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severe health condition, where patients typically suffer from unspecific symptoms like high fever. To support doctors in the decision how to treat the patient, we will develop a miniaturized system for
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condition, where patients typically suffer from unspecific symptoms like high fever. To support doctors in the decision how to treat the patient, we will develop a miniaturized system for rapid diagnosis
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), digital image/volume correlation and targeted manipulation of polymeric chains (i.e., mechanophore additions) to gain a deeper insight into the failure process of polymeric rubbers. The PhD student will
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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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work on designing novel Smart Sensors & Energy Efficient Machine Learning on Microcontrollers. The objectives of this thesis include: Design and prototype modular, low-cost sensor nodes integrating
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, enjoys working closely and respectfully within a team and has basic experience in hands-on lab work and in data analysis. Prior experience in optical imaging, nanofabrication, data processing is highly
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-affected territories; and the global–local entanglements that drive ongoing urbanisation processes. These interests are complemented by research into more-than-human and multispecies spatialities
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transfer, developing and employing laboratory experiments, computer simulations, and field analyses. Our aim is to gain fundamental insights and to develop sustainable technologies that address societal
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datasets, code, experience around tomographic measurements of battery materials and components, image processing, and multiphysics simulation. During their study, doctoral students are encouraged to pitch
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This project is a collaboration between the Multiphase Fluid Dynamics group (Prof. Supponen) at the Institute of Fluid Dynamics, and the Functional and Molecular Imaging group (Prof. Razansky