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multicomponent inorganic energy materials. Use molecular dynamics, lattice-dynamical methods and statistical sampling to investigate local disorder, phase stability, temperature-dependent behaviour and
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Postdoc in first-principles modelling and machine-learned force fields for correlated disorder in...
-dynamical methods and statistical sampling to investigate local disorder, phase stability, temperature-dependent behaviour and structure-property relations. Investigate how defects and correlated disorder
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-energy infrastructure and the rapidly expanding infrastructure supporting data centres and AI computing. These cases will be analysed within a common methodological framework to examine how infrastructure
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binned spectra, such as audio spectrogram encodings or learned embeddings, and developing explainable AI methods that translate model outputs into interpretable visualisations for clinicians and chemists
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project aims to advance non-destructive, rapid, and highly sensitive hyperspectral methods for the detection, identification, and characterization of forensic traces, including fire debris, biological
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ecosystems. A particular focus will be on developing and applying environmental DNA (eDNA) methods for characterising and quantifying marine biodiversity, with an emphasis on marine macroalgae. This includes
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contribute to the analysis and interpretation of monitoring and experimental data from coastal Greenland ecosystems. A particular focus will be on developing and applying environmental DNA (eDNA) methods
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DTU Tenure Track Assistant Professor in Surface Physics and Catalysis for Sustainable Energy Solu...
using and developing state-of-the art methods and instrumentation. Our experimental facilities span ultra-high vacuum surface science, electrochemistry, thermal catalysis, and atomic-scale microscopy
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affinity to computational methods and tools. The project is funded by a Carlsberg Foundation Semper Ardens: Accelerate grant, an ambitious funding instrument supporting research of high international
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image registration, reproducible computational workflows and biological interpretation remain major challenges. This project will develop computational methods and open-source tools for processing