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Biomedical Sciences-track Physiology of Synapses and Networks; supervising bachelor and master theses and tutoring students; co-supervising PhD theses; actively contributing to the development and improvement
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, evolutionarily conserved defensive behaviors. Your job As a PhD candidate in this project, you will use advanced imaging and molecular techniques to investigate defensive behaviors in larval zebrafish, providing
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-supervising PhD theses; actively contributing to the development and improvement of the broader teaching programmes in the department; taking part in committees and working groups and carrying out departmental
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Erasmus MC (University Medical Center Rotterdam); yesterday published | Netherlands | about 2 months ago
PhD students, you will further perform human testing of several prototype devices developed at Delft University of Technology and you will cleverly review and interpret the measurement data
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representations. In this project, you will substantially improve quantitative magnetic resonance imaging (MRI) image quality using deep learning approaches. Quantitative MRI allows healthcare providers
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given to candidates with expertise in two or more of the following microelectronics domains relating to the position: Analogue and digital signal processing for communication, radar, GNSS, image and video
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processes. In this project, we will leverage the advanced voltage imaging in larval zebrafish to investigate how intrinsic plasticity reshapes neuronal behavior. Your job Traditional electrophysiological
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simultaneous stimulation of these processes increases aggregate clearance. This project will employ a combination of advanced cell biology, molecular biology, live-cell imaging, and proteomics approaches. Your
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aims to study how the brain processes pictures and sequences of pictures, like in comics. These PhD positions will study how sequences of images combine images together into hierarchic relationships
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reference architecture for data visiting. This paradigm enables algorithms to securely access and process data within the environments where it resides, supporting federated learning for training machine