We have 72 insurance PhD Projects, Programmes & Scholarships

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insurance PhD Projects, Programmes & Scholarships

We have 72 insurance PhD Projects, Programmes & Scholarships

PhD Position in RF/Microwave Power Amplifiers and Linearization Technologies

The radio frequency (RF) and Microwave group at Villanova University is looking for an initiative-taking, enthusiastic researcher, with a passion for experimentally driven research in radio-frequency/microwaves Power Amplifiers and Linearization Technologies. Read more

Fur and Feathers: colour, structure and flow control

The objective in this exciting cross-disciplinary project is to investigate the potential of a bio-inspired coating of flexible devices to passively modify energetic modes of an unsteady crossflow and to assess, for the first time, the role of colour in determining mechanical properties. Read more

Ableism, Microaggressions and the Law

Studies in Ableism (SiA) is now a recognised sub-specialism of critical disability studies and focuses on ways that abledment (the process of being/becoming ‘abled’) is located within societal processes and practices. Read more

Designing and validating a generative artificial intelligence-friendly framework for health professions education (Clinical & Population Health Track)

RCSI's Strategic Academic Recruitment (StAR) Programme is now recruiting for prestigious funded PhD scholarships. This programme aims to attract high-achieving students to a four-year structured PhD training programme at RCSI and Qatar University. Read more

BOOSTING C4 PHOTOSYNTHESIS BY ALTERING PEP CARBOXYLASE

ABOUT THE PROJECT. The Hawkesbury Institute for the Environment (HIE) is offering a research scholarship to a highly motivated PhD candidate to work within a research group addressing how to improve the primary carboxylase of C4 photosynthesis. Read more

(A*STAR Split-site) Multi-modal and Discourse guided Scientific Text Generation

While the field of natural language generation (NLG) has developed significantly in the last decade, most. efforts have largely considered automatic text generation as a trivial one-shot process, which is exemplified by current mainstream end-to-end deep learning architectures used for NLG. Read more

(A*STAR Split-site) Assessing and enhancing the reasoning capabilities of multi-modal large language models

Although state-of-the-art language models such as generative pre-trained transformers (GPT) have demonstrated human-level performance on many tasks, they still exhibit limitations when it comes to their reasoning capabilities. Read more

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