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tests of low-emissions concretes Numerical modelling (e.g. modal, FEM, or equivalent) of a concrete FOWT concept (e.g. VolturnUS) under cyclic wave, wind, and current loading for conditions found around
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processes studied, specifically high moisture extrusion, drying, and ripening processes, useful to understand and control the mechanisms of texture development. - To study and model the relationship between
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application! Your work assignments We are looking for one PhD student working on generative AI/machine learning, with applications towards materials science. Generative machine learning models have emerged as a
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effectors (https://www.youtube.com/watch?v=A_CTqVFJ7Jc). At the Rolls-Royce UTC, we have a unique capability to design, model, and develop robotic systems tailored for operations in restrictive environments
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scientists on, e.g.: Developing self-supervised learning frameworks to extract features from unlabeled high-resolution microscopy data Training and evaluating segmentation models for detecting and
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. Project details In this project we aim to develop graph deep learning methods that model spatial-temporal brain dynamics for accurate and interpretable detection of neurodegenerative diseases
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, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs … How to apply Applications should include: Curriculum Vitae Cover
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experiment; LHCb. 2. Additional Requirements: 1) teaching experience 2) knowledge of issues related to numerical methods 3) willingness to cooperate and travel to research centers, including CERN Geneva 4
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susceptible to SM, VWC, and atmospheric delay. As a result, the objective of this PhD project is to develop models able to fuse backscattering and phase information to estimate SM and VWC more accurately. The
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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading