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university research into commercial outcomes. Under this program, PhD students will gain unique skills to focus on impact-driven research. This Project aims to develop a predictive machine learning model
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densification model forced by high resolution output from the regional climate model RACMO to simulate the evolution of the Larsen C firn layer in the recent past (1950 to present) and into the future (up to 2100
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Start Date: October 1 2025 Introduction: This PhD project in Aero-Thermo-Structural Simulation and Optimization of Mechanical Interfaces in Hypersonic Vehicles will be carried out under the UK
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Your Job: As part of an interdisciplinary team, you will develop approaches for the automated and large-scale provision and integration of energy systems data and models and apply data science
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Generative machine learning models have made significant progress in recent years. Typical examples include, for example, high-quality image or video generation using diffusion models (e.g
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The doctoral student project and the duties of the doctoral student This Data Driven Life Sciences (DDLS) PhD project focuses on probabilistic models of protein structure, which can be used primarily
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/Simulink/Python for modelling, simulation, and control design. Experience with genset systems, hybrid powertrains, or real-time control applications is highly desirable. A practical interest in system
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nature restoration, and a good revenue model for farmers. Between now and 2030, ReGeNL will start the transition to regenerative agriculture with 1000 farmers. The aim is to make regenerative agriculture
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within the energetics field. Whilst many reactive burn models have been developed to simulate this behaviour, they are generally designed for ideal explosives and are mostly engineering models fitted
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candidate will drive the development of the FSI CMF model to simulate the effect of fluid-solid coupling on the vibration of the structure. The successful candidate will work with the multidisciplinary