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systematic investigation across diverse rock types and integration with predictive models remains lacking. In this PhD study, you will be performing experiments and numerical simulations to understand and
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this field. We are currently looking for researchers with strong energy systems knowledge, electricity, heat, and gas system components and flexibility modelling & simulation, and research software development
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modeling, led by five team members. The current PhD position focuses on developing surveys and conducting statistical analysis of the unique microdata collected from households and firms across three
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toolchain comprising a statistical description of the wind resource and physics-based models of the AWE system will be combined with a cost model of the farm. Is it better to scale up the individual systems
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of current explainable AI techniques is highly beneficial. PhD Position 2: Privacy Preserving Explanations You will design methods to release model outputs and explanations under rigorously defined privacy
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description of the wind resource and physics-based models of the AWE system will be combined with a cost model of the farm. Is it better to scale up the individual systems or to combine multiple smaller-scale
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chain management. Keywords Supply Chain Management Topic Below you will find a list of topics the SCM section currently works on. This is not a complete list and topics are not mutually exclusive. In your
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, the project aims to collect and analyse bilingual infant-directed speech, test infants’ reliance on sound cues, and use computational models to simulate the learning of two languages from speech. Your job In
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the gap between current ML/AI tools — which typically require large, dense datasets — and the realities of lab-scale chemistry and early-stage drug research, where data are often scarce, sparse
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assessments such as the General Movement Assessment (GMA) and the Hammersmith Infant Neurological Examination (HINE). However, current predictive models lack integration of these modalities and precision in