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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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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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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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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
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utilized to explore how quantum protocols can be adapted to mechanical sensors in the quantum regime for various applications. Your role The experimental work in all these projects involves design of
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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