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and geometric deep learning, or simulation-based inference. We welcome your unique perspective and are eager to learn how your track record, educational vision, and future research goals align with
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& Research Learning about danger: a virtual reality approach to study learned predator recognition in fishes Yanell Braumuller PhD candidate Leiden University & Naturalis Biodiversity Center Rooting for
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experience and lessons learned, and the gathering of feedback; Contributing to the continuous improvement of working procedures, tools, processes, expert working methods and delivery methods (lessons learned
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cybersecurity expertise with modern AI techniques such as machine learning, deep learning, or large language models? Then we strongly encourage you to apply. You will join an established team with 25+ members
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encompassing PhD students to full professors. The activities of the SES team focus on earth and plant-biological research (from fundamental to applied) in relation to human health, the environment and relevant
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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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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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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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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join an ambitious deep-tech venture backed by the European