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computer science and philosophy. The REMAX project on Rigorous Evaluation Methods for AI Explainability, funded by a Villum Synergy grant, aims to create methods for explainable AI and their rigorous evaluation. It
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At the Department of Mathematical Sciences, faculty of Engineering & Science, at Aalborg University, we are looking for a postdoctoral researcher to join our group working on numerical methods
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. Your work tasks This Postdoc sits at the intersection of mathematics, statistics, data science, and public health. The goal is to develop new methods that allow researchers to learn from sensitive health
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, integrate and reason over evolving, pluralistic knowledge using mechanistic interpretability methods. This can involve the development of novel conceptual frameworks, methods, or empirical studies
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methods will relate regional imaging and binding measures to cell-specific gene expression and intracellular signalling. Experience with stress-related behavioural models, particularly chronic social defeat
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, system-level digital-twin framework connecting electrolyzer models with relevant Power-to-X components and energy-systema. Develop system-level optimization and energy-management methods for coordinating
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system-level optimization and energy-management methods for coordinating electrolyzers with renewable generation, power conversion, storage, downstream processes, and hydrogen demand. Apply and evaluate
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conduct laboratory and field studies of atmospheric chemical processes, including experiments using atmospheric simulation chambers, and will contribute to the development of new experimental methods
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these methods across different crops to identify conserved patterns of stress resilience 4. Identify candidate genes associated with key agronomic traits related to resilience 5. Contribute to software and web
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materials. Use molecular dynamics, lattice-dynamical methods and statistical sampling to investigate local disorder, phase stability, temperature-dependent behaviour and structure-property relations