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project will address these gaps by employing advanced longitudinal methods and cross-national data analysis to investigate the economic drivers and consequences of grey divorce. The project will explore how
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. The research aims to replace traditional photoredox catalysts with electrochemical radical initiation, developing cleaner and scalable methods for the synthesis of high-value fine chemicals. These studentships
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such as cell isolation methods using microfluidics or microwell devices, preparation of sequencing libraries from ultra-low quantities of nucleic acids have enabled the characterisation of DNA, RNA and
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will contribute to our ability to understand and predict this critical component of ecosystem function. You will work within group spanning ecological science, engineering, and computer science methods
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qualitative, quantitative, and systematic review methods. Title: Beyond Mood: Advancing our Understanding of Cognition and Everyday Functioning in Depression Supervisors: Dr Elayne Ahern (Elayne.Ahern@ul.ie
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the predictions of opaque models that are widely deployed in high-stakes decision making scenarios. Of particular interest to this project are example-based explanation methods that use individual data points
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capacity to funding mechanisms and equity considerations. With Ireland's healthcare system as the primary context, the successful candidate will employ mixed research methods to investigate current
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vitro methods on human biological samples to understand early immune and stromal cell dysregulation that are involved in disease onset, progression, and response to treatment in individuals with
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Women's Tech Entrepreneurship - A Mixed-Methods Analysis of Ireland's Innovation Ecosystem Supervisory Team: Dr Marie Ryan, Dr Huanhuan Xiong, Prof. Eleanor Doyle Impact of technology on economic and non
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. These methods will be implemented in efficient, scalable software packages, ensuring their applicability to real-world social and computational challenges. Application Procedure Applicants should email Dr