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and control of windfarms For this position the research activity is expected to develop new methods in robust and physics-informed machine learning, reduced-order modelling, data-driven nonlinear model
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within the classification level as required. About you Hold a PhD qualification in epidemiology, statistics, biostatistics, public health, geography or a related degree with a strong component in
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, sedentary behaviour, sleep, or relevant fields solid understanding of epidemiological methods and study designs (e.g., prospective and/or longitudinal cohort studies) outstanding statistical analyses skills
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Project entitled "Stoichiometric flexibility shapes microbial function and community assembly." We will reveal how change in elemental stoichiometry of cells (e.g. via intracellular storage physiology
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backgrounds. Research methods incorporate the large-scale collection and analysis of psychometric/normative data, as well as intensive co-design and qualitative interviewing. Your key responsibilities will be
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, particularly targeted metagenomics with deep sequencing (largely Illumina, some Oxford Nanopore) develop and apply computational and statistical methods to enable these analyses provide mentoring and guidance
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in dealing with day to day operational matters skills in qualitative research methods and ability to lead research involving interviews and focus groups extensive experience conducting original
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in dealing with day to day operational matters skills in qualitative research methods and ability to lead research involving interviews and focus groups extensive experience conducting original
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in dealing with day to day operational matters skills in qualitative research methods and ability to lead research involving interviews and focus groups extensive experience conducting original
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or funding agencies high level research skills in survey design proficiency in qualitative research methods statistical analyses skills for observational data and cohort analyses experience working in the non