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- European Space Agency
- Eindhoven University of Technology (TU/e)
- Erasmus University Rotterdam
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- NIOZ Royal Netherlands Institute for Sea Research
- Radboud University Medical Center (Radboudumc); Published today
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- Wageningen University & Research; Published 14 Nov ’25
- Wageningen University and Research Center
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and behavioural speech features. Integrate neuroimaging, speech and clinical data using multivariate and machine-learning approaches (e.g. UMAP). Investigate the effects of deep brain stimulation
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of teams and programmes of significant size in terms of budget and human resources preferably in an international context A well-established network and a deep understanding of challenges and opportunities
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the next generation of managers as they investigate the opportunities presented by data analytics (machine learning, deep learning, data mining) and new information technologies (platforms, cloud computing
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, or related background. Strong background in machine learning, computer vision, and deep learning. Knowledge of transformer architectures and foundation models. Experience with few-shot learning, self
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machine-learning approaches (e.g. UMAP). Investigate the effects of deep brain stimulation on speech production in relation to individual connectivity profiles. Coordinate closely with clinical
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research profile, and an international network around big data in marine sciences. The candidate will have access to NIOZ’s high-performance computing cluster, GPU nodes for deep learning, dedicated data
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: Roadmapping optical technology developments and the introduction of new capabilities for space missions, from low to high technology readiness levels; Introducing deep-space optical communication into space
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, hardening guidelines and security best practices Deep knowledge of security engineering for communications systems based on RF and quantum key distribution Good knowledge of space system engineering
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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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of the AMS Institute (Urban Energy, Metropolitan Food Systems, Mobility, Circularity, Climate Responsible Cities, Responsible Digitisation); A so-called T-profile, combining deep knowledge in the field