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London School of Economics and Political Science; | London, England | United Kingdom | about 1 hour ago
statistical tools (R and/or Python). Develop and conduct optimisation modelling (e.g. electricity market and grid dispatch). Assist in literature reviews and summarising academic research. Contribute to writing
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project at the CNNP Lab . The aim of ACORN is to understand the role of biological rhythms (chronobiology) in health and disease, and develop time-adaptive therapies. This project is funded by UKRI and is a
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lead to a PhD position at SPMS in NTU Singapore (based on performance). Key Responsibilities: Contribute to the development of algorithms Develop codebase in Python and perform large-scale simulations
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data. The appointed Post-Doctoral Research Associate will lead the development and administration of surveys, derive appropriate theoretical and empirical approaches for analyzing survey data, and assist
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photoelectrochemistry and nucleic acid detection. Ultimately, the project may contribute to the development of novel biosensor technologies for detecting clinically relevant nucleic acids in healthcare applications
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quantification and mapping of the high-dimensional correlation structure across multiple traits, quantification of trait variation that arises from new mutations, development and applications of analysis methods
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research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we live in. Your
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, particularly in areas related to: K-12 computer science education pathways Artificial intelligence literacy and pedagogy Teacher professional development and professional learning communities Culturally
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the partners and within the team and translating the partners¿ requirements into the research programme at Liverpool. Contributing to work developing state-of-the-art energy system modelling methods. Being
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involves developing state-of-the-art methods for image segmentation, detection, classification, predictive modelling, and image enhancement. We aim to build more trustworthy and robust AI models that can