36 Humanities PhD scholarships at PhD Programme "Gene Regulation in Evolution" in United-States
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colonial legacies are complex, collective, cumulative, and intergenerational. As a result, the practical demonstration of the role of art to build mental health resilience and act as a marker of water
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generating synthetic data. Incorporating human-in-the-loop ensures model interpretability. By addressing data scarcity, this initiative aims to promote significant impacts on both research and clinical
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of organisms found in the source water, but also a wide range of other species originating from humans likely due to end-point contamination. Thus, normal use of water-based devices can result in contamination
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are maturing, one critical factor remains: human behaviour. From Edward Snowden’s historic NSA leak to the shocking statistic that 95% of cyber attacks succeed due to human error, it’s clear that human behaviour
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. Subsequently the overall aim of this project is to gain a greater understanding of sex variations in SkM and to what degree these differences are driven by specific sex hormones. In humans, males possess greater
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emotional support. This project aims to address these limitations by building multimodal emotion understanding methods with an application to human-robot interactions to understand and response to human
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are carried out, but the very nature of the employment relationship - for example through platform work (Drahokoupil and Fabo, 2016) and the way people are managed through algorithms (Aloisi and De Stefano
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identification: this involves conducting a systematic review of existing literature, examining various biomarkers that have been used to assess biological age. Physiological and functional assessments of human
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leverages through-thickness reinforcement to integrate metallic elements within the composite structure. These metallic elements act as a targeted heat source, activating re-processable matrices such as
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Fully-funded ESRC PhD Scholarship: Uncovering Hidden Preferences in Route Planning with Data Science
algorithms with both data-driven insights and human expertise. Using data science, advanced analytics and machine learning, the project will identify patterns, trends, and correlations in datasets, create