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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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university/spinout environment. This is a unique opportunity to work at the forefront of applied research and innovation, helping translate novel control algorithms and hardware prototypes into real-world
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together to deliver research from fundamental to high level TRL. The successful candidate will design, conduct, analyse and disseminate computational work in the field of multiphase flows for aero-engine oil
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for 36 months in the first instance will have a specific focus on the implications of Risk Base Pricing for the design of on market evidence generation and the Return on Investment for developers
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The Design, Trials and Statistics section in the Division of Population Health based in the School of Medicine and Population Health is seeking to recruit a Research Fellow/ Statistician who has a
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looking at the design and analysis of randomised trials of interventions to reduce the risk of vector-borne diseases (e.g. malaria and dengue). The Project offers an interdisciplinary opportunity to work in
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technologies and work on the design, synthesis, optimisation and characterisation of liquid crystals for optical devices. In addition to carrying out a series of research projects, you will be an excellent
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mentorship if needed Contribute to writing bids for research funding Design and conduct qualitative research (e.g. interviews, focus groups) and/or economic evaluations Analyse and interpret data using
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philosophy of voice. To do this work, the project brings together a multidisciplinary and sector-spanning team of investigators, from philosophy, socio-legal studies, STS, history, sociology and design, with
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tangible interactions is a plus. You can also demonstrate your competence in HCI methods including: user study methodologies, experimental design work, ranging from in-lab to in-the-wild deployments, and