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computational models that learn by finding patterns in language data. Can they learn the different modal meanings simply by paying attention to what they “hear”? Or do they need to come prepared with certain
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Vacancies PhD Position in Computational Biology: Digital Twins & Disease Modeling for Precision Osteoarthritis Treatments Key takeaways Osteoarthritis (OA) is a complex disease in which multiple
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(Kingdom of the) [map ] Subject Area: Advanced Nearest Neighbour Models for Active Matter Appl Deadline: 2025/08/10 11:59PM (posted 2025/07/14, listed until 2025/08/10) Position Description: Apply Position
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affect regional agriculture and transport and possibly global food security. Recently, researchers from IMAU have for the first time modelled a full AMOC collapse in a full-fledged climate model
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working memory contents held within. Second, we will use computational spiking-neuron models to explain the results of the experiments and implement the neural mechanisms responsible. These models will also
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based hydrological modelling with observational data. The research involves setting up an integrated hydrological model that collects both vertical and lateral hydrological processes, from the atmosphere
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of this PhD position is to contribute to the design of models and mechanisms that enable risk-aware optimisation of grid capacity and facilitate market participation for large-scale ESS, providing solutions
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the ecological conditions under which compositionality and dishonest signalling emerge in novel communication systems, using state-of-the-art swarm robotics models. Since there are no archaeological records
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transparency, accountability, and trust in model outputs has become imperative, especially in critical domains such as disaster risk management, social vulnerability mapping using satellite imagery, and
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. However, current estimates of methane emissions from inland waters to the atmosphere are highly uncertain because of limitations in long-term observational data and modelling methodology. In this four-year