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manufacturing technologies and eager to develop and build experimental setups and combine this with physics-based modelling? Join us as a PhD candidate and contribute to making volumetric 3D printing predictable
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is a great opportunity to gain a deeper understanding of what it takes to process data and build and evaluate predictive models. This position will be full-time for approximately 37.5 hours per week
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the company ONCONTROL, in cooperation with the UC. The fellowship will be involved in the execution of the following main objectives: - Optimization of the process digital twin - Development of a predictive
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reconstruction, processing, synthesis, and registration, as well as AI for treatment outcome prediction and clinical decision making. The projects will involve using multi-modality images (CT, CBCT, MRI, PET
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27th April 2026 Languages English English English The Department of Structural Engineering has a vacancy for Two PhD positions in “Micromechanics-based modelling of ductile failure in high-strength
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constitute the core objective of the proposed PhD project. Expected contributions of the Thesis Model realistic multi-orbit/multi-operator SatCom scenarios; Design AI/ML-based prediction models for mobility
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of linguistic corpora, the development and use of Machine Learning and Artificial Intelligence models for the prediction, categorization, and automatic evaluation of pragmatic aspects of language, up
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of £280,000. Responsibilities include creating and refining models to predict particle behaviour, calibrating them to 95% accuracy, and establishing sensor systems for real-time data acquisition. You will
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aging. The main task is to develop methods for predicting health outcomes using dynamic and adaptive modeling whilst addressing computational challenges the analysis pose. This will contribute
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visualization of high-dimensional omics data from the field of bioeconomics, and in the modeling, simulation, and engineering of biomolecular systems, including enzymes. Apply your data science skills to real