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Field
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association of candidate genes with these surfaces. The project offers a unique opportunity to acquire a broad skill set of biochemical, biophysical, bioimaging and molecular techniques while working with a
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circuits and electronics integration. It is desirable that the candidates have sound knowledge in statistical analysis of device output and have experience with failure analysis. The role holder will work
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. Strong quantitative skills, with experience in econometrics and statistical analysis. Experience working with large datasets and appropriate software (e.g., Stata, R, Python, Julia, MATLAB). Excellent
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, hypothesised to drive positive impacts on macroinvertebrate diversity and sediment dynamics. Collect field data from LWS and paired control sites. Analyse through statistical analysis significant causal effects
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student. A First Meng/MSc in a relevant subject or First or upper second class UG degree (2:1). Enthusiasm for research, the ability to think and work independently, excellent analytical skills and strong
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- and time-specific innervation that extends into adolescence. Our lab has used whole-brain tissue clearing, light-sheet imaging, and machine learning to map the spatial and temporal dynamics of serotonin
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analytical methods for the analysis of linked data from electronic health records and genomic or molecular sources. Strong statistical skills (e.g. proficiency in R or Stata), along with excellent writing
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Entry Requirements - Swansea University Knowledge in biology is not essential, but the candidate will be required to learn appropriate biological and clinical knowledge in order to develop mathematical
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in a relevant discipline, such as medical statistics, and practical experience applying research skills to deliver high-quality outputs within specified timelines. A PhD, or ongoing PhD studies, in a
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factors (learning curve). These will be linked with the CCTA imaging biomarker data (quantitative plaque analysis) that is being collected as part of the EU HORIZON TARGET study to determine personalised