239 network-coding-"Chung-Ang-University"-"Chung-Ang-University" Fellowship positions in United Kingdom
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- University of Birmingham
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research outputs Data science skills, especially data analysis and prediction modelling Proven ability to write code in Python Experience working in a research team Excellent writing and communication skills
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) and the Department of Energy Security and Net Zero (DESNZ). The research project entitled, “Production and Consumption Transformations” will explore the alignment of the UK’s industrial strategy, and
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to monitor oceanic CO2 uptake with improved confidence. Any future observational network utilises a range of instrument/sensor technologies, deployed on different platforms, and measuring multiple variables
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of linear wave equations and boundary element techniques as well as their high-frequency approximations. Furthermore, the candidate will be expected to extend the existing code in order to apply the developed
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and co-editing research vision and policy documents The post holder will engage in developing and leading research projects contributing to IDAI's interlocking thematic networks, supporting a
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) and the Department of Energy Security and Net Zero (DESNZ). The research project entitled, “Production and Consumption Transformations” will explore the alignment of the UK’s industrial strategy, and
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research or industry experience will also be considered. Good statistical and analytical skills are necessary, ideally with the ability to work in R and experience with bioinformatic tools/software. Coding
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of seed gene networks”. This project aims to use reverse genetics, cross-species complementation and single cell next-generation sequencing approaches to investigate how the gene networks that regulate
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Institute (Health) and the Commonwealth Young Health Leaders Fellowship, the project will engage with a global network of impactful and future-focused health leaders. The successful PhD candidate will
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project “Fern seed found? Testing a new hypothesis for the origin of seed gene networks”. This project aims to use reverse genetics, cross-species complementation and single cell next-generation sequencing