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computational skills (using R, modelling software, working on a remote linux-based server) and experience in analyzing Next Generation Sequencing data, including PCA, outlier analysis, GO-term enrichment analysis
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accomplished through a combination of experiments and computational methods across various length scales. Such a modelling framework could enhance the prediction of the capacity and crashworthiness of components
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the original model and do not fully incorporate its core, evidence-based components. Common modifications include: enrolling children who are older than the recommended age range; providing fewer hours
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prone to change and decline. One project component analyses and models the effects of climate-induced cryospheric changes on water flows. The other project component, to which you will contribute
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15th July 2025 Languages English English English The Department of Energy and Process Engineering has a vacancy for a PhD Candidate in Scalable Model Predictive Control for the Space-Heating
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strategically important role in the shift towards a greener and more circular economy. Duties of the position Develop computational models and perform corresponding simulations to examine the behaviour and
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selection criteria You must have an academically relevant background within Civil / Environmental / Hydraulic Engineering, Computer Science, Applied Mathematics, or related areas. You must have a Master's
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You must meet the requirements for admission to the faculty of engineering’s Doctoral Programme High level competency in GIS, Hydrology, Hydraulics, hydrological and hydraulic modelling Strong
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outside academia. This PhD position focuses on the intersection of structural engineering, artificial intelligence, and computational design. The project aims to advance the autonomous generation