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Number of Positions: 1 Eligibility: UK Only Funding: School of Chemistry Studentship in collaboration with the Schools of Mechanical Engineering and Chemical & Process Engineering, in support of
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PhD Studentship: Building Synthetic Self-Propelled Cells for Bioinspired Motion Are you fascinated by working at the intersection of physics and synthetic biology? This PhD project offers a unique
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, their application remains narrow and computationally restrictive. The primary goal of this project is to include flutter constraints early in the aircraft design process. To achieve this, the research
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backgrounds in engineering, applied mathematics, physics, computer science, or data science, and can be tailored to your interests, whether you prefer theory, modelling, or applied research. You will analyse
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techniques will be integrated to enhance predictive capability, while explainable AI methods will be employed to identify the governing parameters controlling failure surface evolution and to ensure physical
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(2) cover letter stating your motivation, qualifications and expectations related to this PhD opportunity (max. 1 page). You may be requested to provide a reference letter later on in the process.
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machine-learning-based surrogate models to accelerate design and control workflows. This PhD studentship would suit candidates with backgrounds or interests in engineering, physics, applied mathematics
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is funded by the University of Birmingham and is open to UK students only. We typically require a 2(i) degree in a relevant subject (life or physical sciences). References: 1. Whittle EE, McNeil HE
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properties. Our group uses theoretical and computational chemistry, physics, and materials science in combination with chemical machine learning to explore and exploit diverse functional organic and hybrid
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, civil, and materials engineering. We welcome applicants with a background in: Computer Science Aerospace Engineering Civil Engineering Physics If you have a keen interest in AI, data science, or