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using a variety of advanced methods with the support of project supervisors. The postholder will have completed a PhD in a relevant discipline and have expertise in quantitative research methods
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, STATA or R In-depth knowledge of research methodologies, systematic reviews, and syntheses Formal education/training in quantitative research methods and statistical analysis Excellent written and verbal
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ability to thrive in a collaborative, mixed-methods research environment. Strong personal motivation, self-management, and detail-oriented approach. Ability to adapt and navigate complex health systems and
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architecture design, simulations, and publicly available genomic datasets to develop new inference methods. The Postdoctoral Associate will conduct research related to creating or testing deep learning models
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and personal skills to carry out the project. The hiring process will include an interview. Applicants must hold a two-year Master’s degree (or equivalent qualifications) and meet the formal
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Evaluation (CMHPE), utilising their mixed methods their mixed-methods (ideally qualitative and quantitative) expertise. The role includes planning, coordinating, executing, and reporting on evaluation and
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damage in composite repairs due to environmental degradation and mechanical loading. This research requires deep understanding of analytical and experimental ultrasonic NDT methods, demonstrated knowledge
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environmental and social impacts; 2) enhance the integrity and efficiency of the FPL’s research efforts through the development, evaluation, and application of modern statistical methods; and 3) provide life
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, specifically modelling burrowing behaviour and its impact on the skull. Responsibilities include conducting a range of computer simulations using discrete element and finite element methods, as
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quantification, explainability, and decision-making under uncertainty. We aim to push the boundaries of theory and practice in these areas, developing principled methods that address fundamental and applied