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that integrate deep learning with neuroscientific mechanisms to understand auditory scene processing. You will design, implement, and evaluate AI models for auditory scene analysis, working with large-scale sound
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learning, allowing rapid but rigorous system architecture definition of a launch vehicle within the MBSE collaborative environment. You will also carry out research in the field of Uncertainty Quantification
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through even the most complex structures and materials, enabling microscopy deep inside the organ on chip systems. This technique was invented at the University of Twente, and this project is part of our
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up of data from the NWO Veni project. This position also offers opportunities for personal scientific growth by contributing to the advancement of research, providing support and collaborate with PhD
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Employment 1.0 FTE Gross monthly salary € 3,378 - € 5,331 Required background PhD Organizational unit Faculty of Science Application deadline 22 June 2025 Apply now Come and join our pioneering
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, ballistocardiography, and bio-radar) in combination with machine learning based algorithms for time series analysis into the whole OSA diagnosis and treatment pathway. During diagnosis unobtrusive sensors that can be
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(Groningen), and the UK. This post-doc project offers a unique opportunity to work in an international environment and to acquire valuable research experience for someone who has recently completed a PhD in
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focus on Italy and run in parallel with a PhD project focused on the Netherlands. Job description The postdoc, working under the close supervision of the PI, will be responsible for developing
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investigate how machine-learning based algorithms can be used to personalize the user experience. The goal of this personalized user experience is to enable each individual user to discover their own
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for the participation in multiple international conferences and interaction on site with project partners. Your qualities The ideal candidate: holds a PhD in a topic related to energy science, geoinformatics