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data, including TPMS (Tire Pressure Monitoring System), high-speed wheel encoders, CAN (Controller Area Network) data, accelerometers, and acoustics data. Understanding of sensor technologies and their
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modeling. Experience in cell culture, molecular cloning, and bioinformatics analyses is required. Proficiency in statistics and programming are highly meriting, especially in gene regulatory networks
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national and international research networks time spent abroad working at one or more internationally recognised research institutions. Finally, applicants are asked to provide a proposal for research to be
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? With data-driven methods, new opportunities arise to understand ecosystems as complex, dynamic networks. This project aims to analyse the world’s most extensive eDNA database, consisting of weekly
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reasoning and for cognitive reappraisal. They will join the wider network of Turing AI fellows and the Alan Turing Institute , the national AI and Data Science institute in the UK. There will be
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a focus on mentoring and individual career development. Training in state-of-the-art technologies and data analysis as well as research management, oral and written communication, and networking
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collaboration, career development events, networking initiatives, industry placements, and research stays. Your tasks Candidates are expected to conduct independent and collaborative research, contribute
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developing characterisations of network models and interactions with methods in statistical machine learning. The post holder provides guidance to junior members of the research group including project
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: Has a doctoral degree - the degree requirement must be met by the beginning of the employment Has a strong methodological background in agent-based modelling, systems dynamics, network analysis
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chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data from varied sources, and machine