15 finite-element-methods Postdoctoral positions at University of London in United Kingdom
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will compare the development of annelids and molluscs and combine single-cell transcriptomics with classic embryological approaches and state-of-the-art computational methods. The findings from
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-applicant team the PDRA will lead the day to day running of the project. The project includes four work packages: 1) policy review and workshops with key stakeholders; 2) in-depth mixed method case studies
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welfare initiatives and inform relevant strategies and policies. Our ideal candidate will have a postgraduate degree with a strong research component and practical experience of conducting observational
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. Research will focus on identifying and publishing results in methods to build foundation models, using multimodal and multiscale health data. The role is funded for 24 months in the first instance. About You
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responsibilities will include: Pre-registering data analysis plans; Leading and conducting advanced statistical analyses (e.g., twin/family designs, genomic and epidemiological methods, longitudinal modelling
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Devices." The project focuses on cutting-edge research into the growth, characterisation, and application of high-performance two-dimensional (2D) materials using metal-organic chemical vapour deposition
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healthcare datasets to identify novel cancer risk factors, develop prediction models to provide individualised cancer risk using cutting edge methods, and examine the impact of exemplar interventions on risk
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to deliver high quality publications. You will be familiar with the theoretical traditions that have informed Professor Cowards publications as well as broader qualitative methods – especially in the areas
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levels of government in England and Scotland. We anticipate that the PDRA will largely use ethnographic methods within the spatial and engagement constraints of the wider RACC research, but we are open to
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the utilisation of upcoming facilities such as the Square Kilometre Array Observatory. The Astronomy Group specifically focuses on applying advanced Artificial Intelligence (AI) methods to astrophysical research