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process modelling, See further information at https://endure.dtu.dk/ and https://cordis.europa.eu/project/id/101227649 . Responsibilities Your overall purpose will be to develop, model, and validate a
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Control of Buildings (https://annex96.iea-ebc.org ). Responsibilities and qualifications The primary objective is to advance scalable modeling methodologies for building energy systems by combining physical
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models can be designed and deployed efficiently on constrained hardware platforms while supporting the reliability and security requirements of cyber-physical energy systems. Tasks The PhD student will
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Time Series Analysis Graphical models Computational statistics We welcome applications from candidates with an educational background in fields such as: Mathematical Statistics Machine Learning
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PhD researcher in AI:GENOMIX, you will contribute to next-generation models that rethink polygenic prediction and support the future of precision medicine. AI:X is an ambitious initiative at Aalborg
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responds to climate change in the past and present to improve future predictions of sea-level rise and Earth system feedbacks. The work combines collection of field data, remote sensing, and modelling in
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the Marie Skłodowska-Curie Actions (MSCA) grant on WindConnect project. The project The WindConnect (wind farm control and integration in sector-coupled power systems https://cordis.europa.eu/project/id
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-EEG, rTMS, HD-tDCS), bio-medical techniques (e.g. linked with epigenetics and general biomarkers), quantitative sensory testing (QST) as well as research based on animal models (e.g. rodents and pigs
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-coupled power systems https://cordis.europa.eu/project/id/101227683 ) consortium unites leading experts from academia and industry across Europe, leveraging expertise in wind energy, power systems, power
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At the Faculty of Engineering and Science, Department of Mathematical Sciences, one or more PhD stipends/Integrated PhD stipends in inference and modeling of Quantum transduction processes