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. Yet, many stellar and planetary parameters remain systematically uncertain due to limitations in stellar modelling and data interpretation. This PhD project will develop Bayesian Hierarchical Models
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comprehensive framework for modelling gravitational wave signals from precessing eccentric compact binaries across the full detector landscape, from ground-based instruments such as LIGO and Virgo through
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that utilize imposed flows or chemical influences or electrical fields to manipulate an active drop’s motion, but a systematic first-principles-based analysis of these effects is severely lacking. This limits
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between these molecules to engineer new quantum states. However, so far it is not well known how to achieve entanglement with molecules with such plasmonic systems. This PhD project will focus on developing
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avenues by enabling chronic, gut-based monitoring of neuroendocrine activity for applications such as closed loop therapeutics. The proposed PhD project sits at the interface of biomedical engineering
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into standardized features. Transformer-Based Risk Prediction: A central component of this project involves developing your own time-aware transformer model. This predictive back-end will be trained on world-leading
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easier to detect and measured experimentally. However, it is not well known yet how this process emerges and how one can control it. This PhD project will focus on developing the necessary theoretical
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. This PhD project will explore a novel approach: leveraging polymeric microelectromechanical systems (MEMS) technology to create a miniaturised micropump-based ingestible capsule that can actively deliver
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Join the University of Birmingham for groundbreaking PhD research to make 6G possible! Future radio communication systems (6G and beyond) will use frequencies above 100 GHz to achieve bit rates
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Project Overview We are inviting applications for a PhD position focused on the development of porous materials for key challenges in decarbonization and thermal energy storage (TES). This project