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on what characterizes intelligence in humans and AI and develop neuro-cognitive methods and formal models to describe the similarities and differences? Join us! We are looking for a PhD candidate to join
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Hochstenbach. This project is funded through a Vidi-grant from NWO, the Dutch Research Council. The DWELLWELL project will involve two PhD-candidates working with different methods on different research
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. Desirable Criteria Experience implementing machine learning or deep learning models (e.g., neural networks, probabilistic learning methods). Knowledge of state estimation techniques, such as Kalman filters
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within a research group which develops methods for analysis of medical images. The group collaborates with several medical doctors at Linköping University hospital, through CMIV , with different types
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within a research group which develops methods for analysis of medical images. The group collaborates with several medical doctors at Linköping University hospital, through CMIV , with different types
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 18 days ago
or segmentation methods are used with no other objective than their own, using objects as landmarks for localization introduces specific constraints in terms of repeatability across different viewpoints
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the behaviour of the oxide layer and any coating. It will seek to provide as much information as possible on these phenomena using a test piece with multiple gauge-length sections, with different cross-sectional
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The Computer Vision Group is looking for an aspiring PhD to investigate multi-agentic AI, LLMs, and VLMs applied to agricultural sciences. Currently, established AI models often fail to generalize
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how multiple impacts, at different spatial and temporal scales, interact to transform the overall functioning of ecosystems using the resilience pivots method: the accumulation of impacts is analysed in
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frameworks to maximise compression ratios. We will use predictor models which estimate projections or slices, storing only differences between the prediction and original data. Because errors are small and