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) strategies, primarily revolving around interpretable ML and generative AI, to study complex biological processes. This project combines timely analytical challenges with deep rooted applications in life
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include generating and analysing complex microbiome “omic” datasets to create an inventory of microbial genomes and lists of expressed metabolic features that are signature for the keystone microorganisms
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motivated PhD candidate to conduct research in the field of evidence synthesis. The project will focus on statistical methods for living network meta-analyses – dynamic networks of interventions
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the need for complex database programming and empowering users to effortlessly extract insights. As the selected participant, and under the guidance of a mentor, you will gain hands-on experience in the full
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challenges involved in integration of quantum sensors into complex systems. They will also join a thriving quantum technology research base at the University of Birmingham. The University has been active in
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but also social/networking events and activities to ensure scholars have the best experience at ASU and develop a strong sense of belonging and engagement. About Arizona State University ASU is a large
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and addressing technical challenges in estimating rare, high-impact occurrences. Developing analytical tools for policy evaluation, including counterfactual analysis, forecasting, and network
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to record complex molecular phenotypes to DNA Scaling state-of-the-art genome editing technologies to produce data capable of training or refining computational models Discovering new mechanisms underlying
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and addressing technical challenges in estimating rare, high-impact occurrences. Developing analytical tools for policy evaluation, including counterfactual analysis, forecasting, and network
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of high-quality, productivity-driven research networks across RMIT and with local and national, internal and external partners. You will be expected to engage in high quality research projects, to achieve