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information of increasing complexity pose significant challenges to our individual and collective use and curation of information. Fundamental concepts such as identity, memory, authenticity, trust
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in fertility and increased incidences of male and female reproductive dysfunction. Although the etiologies of these conditions are complex, there is increasing evidence that they are associated with
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public health in a complex and changing world. Developing and evaluating interventions which harness these mechanisms to improve public health and reduce social inequalities in health. Influencing policy
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to query and evaluate topical questions in the parallel/convergent basis of complex phenotypes. This project will build on existing datasets and with opportunity for new experiments. The ideal candidate will
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extend human healthspan. Techniques: Data mining Transcriptomics Proteomics Statistical Analysis Machine Learning Genetics Molecular Biology References: Developmental mitochondrial complex I activity
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combining high-plex imaging, spatial data analysis, and machine learning. One arm of the project will seek to engineer diverse quantitative features (e.g., adapting concepts and metrics from network science
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systematically investigate the light-regulated gene networks and protein complexes that mediate thermotolerance. Using well-characterized photoreceptor mutants, the study will dissect the genetic interactions
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, and how these molecules interact within cells to form complex functional networks. We are also working towards applications of our knowledge to address important real-world problems. PhD: 3-4 years full
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Functional Materials, 19(18), 2961–2968 Donoghue, P. S., Sun, T., Gadegaard, N., Riehle, M. O., & Barnett, S. C. (2013). Development of a Novel 3D Culture System for Screening Features of a Complex Implantable