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covers model derivation, model reduction, and numerical simulations. In collaboration with the rest of the PI's group (4 PhD's + 1 Postdoc + undergrad students) at the Bernoulli Institute for Mathematics
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consortium comes in. PRELIFE unites experts across a wide range of disciplines from astronomy, biology, chemistry, computer science, earth and planetary sciences, education, mathematics, to physics. Together
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PhD position - Modelling the emergence of information transfer in prebiotic self-replicating systems
consortium comes in. PRELIFE unites experts across a wide range of disciplines from astronomy, biology, chemistry, computer science, earth and planetary sciences, education, mathematics, to physics. Together
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As urban populations grow and energy demands rise, urban-scale energy system modelling is critical for reducing emissions, enhancing resilience, and integrating high shares of renewable energy
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energy system modelling is critical for reducing emissions, enhancing resilience, and integrating high shares of renewable energy sources. Such modelling provides essential tools for designing low-carbon
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to establish a rigorous framework for assessing AI decision-making. It will benchmark generative AI models, comparing their decision-theoretic performance much like existing evaluations of their mathematical
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platform for metal AM parts; 2)develop and perform advanced data-processing techniques (e.g., data-driven modeling with embedded nonlinear dynamics) for vibrational feature extraction; 3)conduct quality
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advanced data-processing techniques (e.g., data-driven modeling with embedded nonlinear dynamics) for vibrational feature extraction; 3)conduct quality diagnostics on the printed parts. The PhD project is
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learning techniques and advanced numerical simulation modelling to quantitatively study the electrical characteristics of state-of-the-art perovskite solar cells. The efficiency and stability of perovskite
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exhibit framing effects, AI models may reach contradictory conclusions depending on how a prompt is phrased. Similarly, they may display preference reversals, nonstationary risk attitudes, violations