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reviews, policy analysis, interviews, focus groups and other qualitative research methods. The candidate will examine questions such as how comfortable people are with their health data being used to create
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mechanisms, biomarkers, and therapeutic targets in solid tumors through multi-omics data analysis of large pan-cancer datasets, including proteogenomic data generated across high-throughput profiling platforms
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role in all stages of this process, from conceptualisation to data collection and analysis, as well as writing up and presenting the findings. As such, there is scope for the post-holder to bring
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lead the measurement and analysis of environmental radionuclides, ensuring high standards of calibration, spectral interpretation, and data quality. You should have a (or be about to obtain) PhD in
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of multi-modal datasets, including MRI/fMRI, behavioural and audio data Develop reproducible statistical and machine learning analysis pipelines Support grant writing, ethics submissions and project
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on the analysis of biological interactions in a context of environmental changes. Work Plan: Within the scope of the fellowship, the following tasks will be developed: Analysis of ecological data from field
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Development for more information. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area
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sustainable infrastructure. In this role, the successful candidate will develop and validate advanced numerical models of energy micropiles, undertake large-scale simulations and data-driven analysis to explore
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, structural biologists and imaging scientists. Qualifications Candidates should have a PhD in chemistry, chemical biology, biochemistry or a closely related field. Candidates must have demonstrated experience
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, clinical and sensor data processing, quantitative image analysis and machine learning. They will establish and maintain robust research databases and FAIR-compliant data management processes for large, multi