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wireless communication systems. The PhD student will carry out specifically the following initial tasks: implementation, and calibration of the microscopy system; electromagnetic modelling of the near-field
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/Machine Learning engineers. Want to leverage your skills to usher in the era of personalized disease modeling? The Digital Twin Innovation Hub is currently seeking skilled and experienced individuals
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to design healthier, more active cities? Join the Institute for Risk Assessment Sciences (IRAS) as a PhD candidate “Designing for movement: modelling physical activity in urban environments using Agent-Based
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-diffusive(-thermal-chemical) behavior of fiber-reinforced composites at the micro/meso-scale. These models will incorporate uncertainty via stochastic inputs, such as random field representations of spatially
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and spatial conditions influence energy performance and thermal comfort. By combining spatial mapping, data modelling, and fuel poverty metrics, the project will identify where health risks are most
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ACCE+ DLA Programme: Assessing the Future Effectiveness of Spatial Conservation Networks in tetrapods School of Biosciences PhD Research Project Competition Funded Students Worldwide Prof Gavin
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incentives, behavioural drivers, and land-use decisions at the meso-scale (e.g. river basins or regions), using clear case studies. You develop modelling approaches that bridge economic analysis and spatial
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stimuli —enable whole-brain imaging of neuronal activity. This makes them an ideal model to study the neurons involved in these innate, evolutionarily conserved defensive behaviors. Your job As a PhD
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ambitious postdoctoral scientist with a PhD in Data Science, Bioinformatics, or equivalent, as well as expertise in genomic data science. Experience in single-cell and/or spatial genomic data analysis and
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Requirements You are an independent, highly motivated researcher with solid interdisciplinary experience in agronomy and plant genetics, and a growing foundation in spatial data analysis. You also possess: A PhD