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The primary objective of this project is to establish the evidence base on professional cycling road ‘racing’ trends and the critical tactical moments that determine how races are won. This evidence
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the main supervisor, Dr Bissett - mark.bissett@manchester.ac.uk , to discuss this. Project Overview Carbon nanotubes (CNTs) are critical components in advanced technologies, particularly as conductive
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Systems, or a related field. Strong analytical and critical thinking skills. Strong machine learning (ML), computer vision (CV), large language models (LLM) for quantitative data, texts, images, and sensor
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We invite applications for a fully funded joint PhD studentship between the University of Birmingham (UK) and BAM (Germany), starting in September/October 2025. The project will address critical
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to world class research and education facilities. This PhD project will equip the student with critical, in-demand expertise in hydrogen fuel, cryogenic pumping, multi-phase analysis, and system integration
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. The system will leverage cutting-edge techniques in Natural Language Processing (NLP), Machine Learning (ML), and Multimodal Analysis to conduct adaptive interviews, assess candidate responses, and generate
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critical to ensuring the longevity and safety of fusion reactors. This PhD project focuses on developing an integrated framework that combines cutting-edge computational models, including Monte Carlo
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of experimental models of critical medulloblastoma targets, their use in experimental drug screening and efficacy studies of metabolic targets, and the generation and integration of genomics, proteomics
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. Early diagnosis and an accurate characterization of disease progression are critical for treatment and improving patients' quality of life. However, current methods rely on expensive and time-consuming
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-work, research, and climate discourse, and allows for more nuanced discussion of intersectional environmental justice (see one definition below). The PhD will build on scholarship that connects