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conducting high-quality and innovative research addressing complex health and social care challenges of the 21st century. We employ traditional statistical and epidemiological methods, alongside cutting-edge
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multidisciplinary team conducting high quality and innovative research addressing complex health and social care challenges of the 21st century. We employ traditional statistical and epidemiological methods
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have, or will be close to completing, a PhD (or equivalent professional qualifications) with strong quantitative research methods in a relevant discipline (e.g. gerontology, statistics, demography
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multidisciplinary team conducting high quality and innovative research addressing complex health and social care challenges of the 21st century. We employ traditional statistical and epidemiological methods
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listeners. We are seeking candidates with a Ph.D. (either awarded or nearing completion) or equivalent professional qualification and experience in Machine Learning, Statistics, or a related field, who have
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numerical models and statistical processing techniques to establish patterns and future trajectories of global change. The post holder will be expected to be able to locate, curate and manipulate time-series
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with a Ph.D. (either awarded or nearing completion) or equivalent professional qualification and experience in Machine Learning, Statistics, or a related field, who have in-depth knowledge in and
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statistical and epidemiological methods, alongside cutting-edge artificial intelligence algorithms to gain insights into real-world problems. This is combined with qualitative research to provide deeper
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conducting human experimental studies in the field or lab is an advantage. You will have strong skills in MATLAB or Python for noise and vibration analysis and be comfortable working with statistical methods