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BioImaging Infrastructure (NL‐BI) is a nation-wide initiative that enables and supports scientific breakthroughs in bioimaging across experimental models and imaging modalities. NL-BI provides researchers with
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, MSc, and PhD students. In-depth knowledge of the fundamentals of Remote Sensing of the land surface with extensive experience in data processing from relevant instruments and sensors. A strong team
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emerging as a promising paradigm to overcome bottlenecks in conventional computing, offering ultra-fast and low-energy information processing. Recent advances include both spiking and deep learning schemes
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comprises approximately 15–20 staff members, including university lecturers, postdoctoral researchers, PhD candidates and highly trained technicians specialising in advanced technologies such as gene editing
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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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mathematical modelling, with a focus on real-world applications. This includes statistics, uncertainty quantification, data analysis, signal processing, (mathematical foundations of) machine learning, and
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multi-agent systems, (medical) signal and image processing, FAIR principles, game theory, intelligent search techniques and affective computing are internationally recognized. What makes our research so
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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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-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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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