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psychological support to help breast cancer survivors re-establish an adaptive mind-body connection. Data collection, data management, and secure data storage for questionnaire, psychophysiology, and biomarker
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for conducting quantitative data analysis of large secondary datasets and be based at the University of Bristol. There are opportunities to work on several other ongoing and upcoming research projects to help
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observation tasks, health economics data and a large battery of questionnaires. Because of the quality of the datasets, the elevated risk of children involved and the importance of the research questions, we
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candidate with skills and experience in some of the following areas: Quantitative approaches such as longitudinal data analysis, analysis of large datasets and/or data science Experience of working with
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skills in Python, and familiarity with libraries such as TensorFlow, Keras, PyTorch, or similar Experience working with large datasets and applying data preprocessing techniques (e.g., image augmentation
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will be complementary. Broadly the posts include a qualitative research methods expert, a qualitative research methods expert in big data, and a quantitative research methods expert. Please note that
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data and a large battery of questionnaires. Because of the quality of the datasets, the elevated risk of children involved and the importance of the research questions, we anticipate submission of a
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epidemiology team of the Veterinary Epidemiology, Economics and Public Health group for an enthusiastic and motivated self-starter to work on a large-scale Horserace Betting Levy Board-funded project
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research platform is to catalyse TBI research through the data access, biomarker development and experimental medicine activities. You will work closely with Dr Mazdak Ghajari (Design Engineering) and Prof
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, exchange of data and resources. Iskratsch et al., Nat Rev Cell Mol Biol (2013) (2018) Hawkes, Phil Trans R Soc B (2022) Marhuenda et al, BioRxiv (2023) Swiatlowska et al, Sci Adv (2022) Swiatlowska et al