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postholder will hold a PhD (or equivalent experience) in a relevant field, with strong knowledge of quantitative and qualitative research methods, including qualitative interviewing, data analysis using
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postgraduate degree, ideally a PhD, in statistics, machine learning, or a related field. Experience of developing new statistical methods and a strong working knowledge of a statistical software package, such as
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independently and in close collaboration with in-country partners. The applicant should have an excellent academic track record that includes formal training in microbiology as well as a relevant PhD (public
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of working in travel medicine and migrant health, experience in a formal teaching environment in higher education and possess excellent digital skills relevant to online education. Further particulars
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As Senior Computational Biologist, you will: · Develop cutting-edge methods to predict which somatic mutations drive clonal expansion · Integrate large-scale multimodal omic datasets from healthy and
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should hold a PhD in psychology or a closely related discipline. They must have outstanding quantitative skills, including extensive experience in the design of psychological experiments, and in data
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project developing Bayesian causal inference methods for mediation analysis using Electronic Health Records (EHR) data. The Research Fellow will design and implement Bayesian methods and software
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into a range of different aspects of user engagement with next-generation screen and performance technologies. This role is ideal for someone with a PhD and research experience in Psychology or a related
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, and OpenSAFELY, and to develop and apply the new generation of analytical methods to study environmental health risks and climate change. The post will provide opportunities for interactions with
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background in research in cardiopulmonary medicine or surgery and a PhD, although desirable, are not essential. We offer a generous reward package and benefits including: Competitive and attractive pension