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(neural mass models) as well as at the neuron level (neural network models) including plasticity. Electric fields will be estimated based on finite-element method models. The project can be partly adapted
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Vacancies 2x PhD positions in the Mathematical Foundations of Machine Learning on Graphs and Networks Key takeaways The Discrete Mathematics and Mathematical Programming (DMMP) group
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this gap by developing a machine learning-based downscaling framework that links coarse resolution (0.25°-1°) reanalysis and climate model outputs to fine-scale (∼100 m) estimates of surface melt and
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of fungal networks, but also strengthens advocacy for these essential organisms in global sustainability and soil health research.' Vasilis Kokkoris, Assistant Professor, Amsterdam Institute for Life and
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, updated with anti-nutrient content (phytate, tannins, oxalate), to apply and further develop mathematical models to estimate the absorbable micronutrient content from meals and dietary patterns. You will
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technology, digital input/output interfaces and technologies, networks and protocols. experience in design and validation of algorithms and techniques such as modulation, digital beamforming, machine learning
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are promoting more resource intensive lifestyles under banners of health, safety and pleasance. While the Human-Computer Interaction (HCI) community shaping smart technologies is still coming to terms with its
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their transformation into synergies; leveraging active external networks, exploring new and future EO domains with an observatory function, permanently searching for innovation and gathering information on technology
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temporal modelling, multimodal analysis, and risk progression modelling to forecast deterioration patterns and estimate the remaining useful lifetime of infrastructure components. The research also
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Computer Science. The main research themes are Artificial Intelligence, Computational Science and Systems and Network Engineering. Our research involves complex information systems at large, with a focus on