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patients with early DKD and matched healthy controls. ▪ Development of an AI-driven digital African twin model capturing population-specific molecular heterogeneity, disease trajectories, and predictive
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the micro-geography of crime, policing strategies, predictive models, environmental criminology, public perceptions of crime and safety, and cross-border behaviour such as sexual boundary-crossing behaviour
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Overall, Purpose of the Job The main tasks are to advance the use of high-fidelity modelling to improve understanding of the characteristics of the turbulent wakes that develop downstream of large
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of research this position is engaged in: The Bowen lab leverages wide-scale neural recordings, predictive modeling, and continuous glucose monitoring with the goal of building foundational integrated (“multi
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Forecasting the Future of Biodiversity: Cutting-Edge Approaches to Population and Community Dynamics
: Applications accepted all year round Details We welcome applications for a PhD in population ecology and demographic modelling within a dynamic, interdisciplinary research group tackling big questions across
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while modeling inclusive teaching strategies, with an understanding of the socio-cultural issues of traditionally underrepresented groups. Considers individual differences of students in order to design
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capacity. We are increasingly incorporating machine learning models into our design-build-test iterations to predict protein function. The group’s focus is predominantly enzyme design, but readily touches
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industrial partners and spin-offs, together with KTT Business Developers and Innovation Managers. Develop standardized, technology-adapted licensing models and agreement templates (exclusive/non-exclusive
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and edge computing; The design of architectures/models which accurately capture the complexities of the data, with robust estimates of confidence in predictions and compressed quantities of interest
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, cardiovascular problems and cognitive decline. While outdoor air quality is routinely predicted using advanced models that combine emissions data, chemical reactions, and weather patterns, no equivalent predictive