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. The group at IAS specializes in the analysis of large social systems. Research in the group focuses on topics such as labor mobility and residential mobility using data from Swedish national population
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engineering. Preferred Qualifications: PhD in Chemical Engineering or closely related field. Extensive, hands-on experience with CFD analysis and modeling, including proficiency with leading CFD software tools
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* experience writing peer reviewed publications. Experience working in multi-disciplinary teams. Significant* experience setting up custom experiments for data collection and analysis. Experience developing and
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post-mortem tissue analysis to validate findings in a clinically relevant context. The successful candidate will benefit from a multidisciplinary environment, combining Dr Fulton’s expertise in brain
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communication environments. For the advertised PhD researcher position, this work involves written and multi-modal corpora development and analysis, and working with computational models of irony and analysis
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This project will utilise the internationally unique pathogen genomic and associated meta data for all TB cases in the UK, numbering in the tens of thousands over more than a decade. This data set
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PhD Studentship: Sleep and Circadian Rhythms in Elite Sport (Co-funded by Brighton & Hove Albion FC)
state-of-the-art wearable devices. Applicants should have strong experience in data collection in applied settings, advanced statistical analysis skills (particularly in time-series data), and proficiency
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acids Binding efficiency, inhibition and selectivity tests Structure-based analysis of polyphillic interactions Presentation and publication of scientific data The opportunity to obtain your own academic
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understanding of district heating and cooling, renewable energy integration, multi-energy systems, and energy conversion and storage technologies. You have strong skills in programming, modelling, and data
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personal experience, but typically a 2XE internship is centred on advancing data analysis and developing tools for deploying transformative technologies within the renewable and smart energy sectors