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the research project - “White adipose tissue (fat) dysfunction in ageing and its related metabolic diseases: new insight and therapeutic intervention”. Qualifications Applicants should have: (a) a PhD degree
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accident analysis and risk-informed decision-making; 2) Building predictive models using integrated maritime big data sources; and 3) Developing and validating a resilience assessment and control framework
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technology management, or smart grids. Experience in development of mathematical meta-models, control strategies, optimization methods and algorithms, data analysis and machine learning techniques, techno
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the Spatial Biology Facility, you will lead the development and optimisation of high-resolution spatial biology and multi-omics data analysis pipelines. Your primary focus (80% of your time) will be on leading
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will apply statistical expertise to design and implement methods for the integration and analysis of data sets from research projects investigating the genetics of epilepsies. You will be responsible
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extractions). The candidate ideally should be familiar with live tissue slicing and working with hIPSC cultures. Additionally, a major component of this post will also involve data analysis and interpretation
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aerodynamics. Experience in data analysis and interpretation of large datasets. Knowledge and experience from use and development of CFD codes. Risk analysis and risk assessments in the process industry. Good
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, with opportunities to build an international research portfolio. The post holder will work on developing and testing study design and data analysis methods, particularly related to cluster randomised
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. Cantera or CHEMKIN. Background in compressible flows and applied aerodynamics. Experience in data analysis and interpretation of large datasets. Knowledge and experience from use and development of CFD
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analysis Apply for this job See advertisement About the position The Faculty of Technology, Natural Sciences and Maritime Sciences has a vacancy for a 100 % position as PhD Research Fellow in the Department