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                . We are experts in systems science; we develop integrated solutions from care of the elderly to space robotics. We are now looking for a Postdoctoral Researcher in quantum computing and algorithms 
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                will design and implement novel computer vision and machine learning methods for “sensorized” cameras that extract medically relevant features without transmitting raw video. You will evaluate algorithms 
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                nanoparticles electrochemistry, wearable electrochemical sensor and microelectrode fabrication and sensing assay. The main duties of the selected applicant will be: As a postdoctoral or project researcher, you 
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                be adapted to mechanical sensors in the quantum regime for various applications. Your role The experimental work in all these projects involves design of the samples and of the measurement setups 
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                in signal processing and control. Your role and goals As a researcher in this project, you will work on mathematical models for describing the radio environment and to design algorithms for estimating 
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                particle (SEP) events. The project is a joint collaboration of Algorithmics and Computational Intelligence research group at the Department of Computing and Space Research Laboratory at the Department 
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                , electronic circuit design characterization techniques (Raman microscopy, AFM, SEM, etc.) neuroscience biological/in-vivo sensors Experience in collaboration with biologists or medical researchers is an 
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                project is to develop a high-performance computing framework for mass spectrometry proteomics to enhance efficient processing and interpretation of large datasets using deep learning algorithms and GPU 
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                developed by the project partners will be based on two key technologies: machine learning algorithms that generate artificial yet realistic data points (synthetic health data) and secure multi-party 
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                that are of practical interest. The postdoctoral researcher will contribute to the theoretical foundations of inverse problems involving wave phenomena, develop cutting-edge computational algorithms, and apply