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immunology (e.g. in vivo models, flow cytometry, imaging) Motivation to learn and apply computational biology/bioinformatics approaches (training will be provided). Some background in programming is therefore
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3 Oct 2025 Job Information Organisation/Company Edmund Mach Foundation Department Research and Innovation Centre Research Field Computer science Physics Engineering Mathematics Information science
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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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PhD Scholarships in Piezophotoacoustic Technology for Minimally Invasive Endoscopy - DTU Health Tech
right research project for you. The PhD research project aims to explore and develop probes for ex-vivo and in-vivo applications for tissue imaging, classification and identification by exploiting
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of the identified structures via stereolithographic, 3D printing and textile techniques like tufting, machine-based embroidery techniques or non-interlaced 3D pre-forming. Development of advanced imaging and
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disciplines FELASA certification Experience with or highly interested in experimental immunology (e.g. in vivo models, flow cytometry, imaging) Motivation to learn and apply computational biology/bioinformatics
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“Female Heart”. The researcher position has a temporary financing for two (2) years from 01.11.25. About the project/work tasks: Advanced image analysis of ultrasound images Statistical analysis
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. laser-based imaging diagnostics, setup of model reactors, modeling of underlying reactions, multiscale simulation of reactive fluids, computational fluid dynamics) We particularly encourage applications
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new paradigm in the design, testing, and validation of Electronic Control Units (ECUs) for Connected and Autonomous Vehicles. By developing high-fidelity Digital Twins (DTs) that combine functional
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management in hydrogen fuel cell- and electric battery-powered vehicles. Developing a functional software prototype simulating the physical behaviour of the energy management system. Implementing an IoT-AI