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in stem cell biology, regenerative medicine, cell signaling, vascular biology, lung biology, inflammation signaling, and thrombosis & platelet signaling, with frequent publications in high-impact
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, data acquisition hardware. Data Acquisition: Execute complex experiments involving high-bandwidth electrical measurements and advanced microscopy imaging (i.e., AFM and SEM) Signal Processing: Develop
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52,000 Type of Position Temporary Position Time Status Full-Time Required Education Skills in biomedical research and related techniques and laboratory procedures. Scientific writing experience is
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Networks, Systems and Control, Signal processing and Biomedical engineering, and Electric Power Engineering. We work with sustainable and smart solutions to societal challenges, such as energy efficiency and
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to biomedical data is a plus Experience in image processing techniques, such as segmentation, is of advantage Ability to quickly grasp new concepts and work independently on complex problems Ability to work as
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A signed personal data processing consent, including the following statement: “I hereby consent to the processing of my personal data by the M. Nałęcz Institute of Biocybernetics and Biomedical
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Optical Networks, Systems and Control, Signal processing and Biomedical engineering, and Electric Power Engineering. We work with sustainable and smart solutions to societal challenges, such as energy
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About Us The Research Department of Digital Twins for Healthcare at King’s College London is a multidisciplinary hub within the School of Biomedical Engineering & Imaging Sciences, dedicated
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invasive in blood biomarker detection. In collaboration with our partners at the Karlsruhe Institute of Technology (KIT), you will develop data analysis pipelines as well as signal processing and inference
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holder will help to execute an innovative research program encompassing the fields of control engineering, biomedical engineering, signal processing, real-time systems and artificial intelligence