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Field
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analysis and a basic knowledge of causal inference would be an advantage. Training and support in new areas will be provided. The appointed individual will be based at the Leicester Diabetes Centre
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employing Regression Discontinuity Designs (RDD) and related causal inference models, with a strong emphasis on advancing statistical methodology. The project presents significant methodological challenges
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integrating large complex datasets is likewise essential as is training in Bayesian sample assessment methods. The post is based in UCC and requires the successful candidate to work closely and in person with
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chart review, administering follow-up surveys to participants, completing payments, updating tracking systems, and performing various quality assurance, data entry, and data cleaning tasks. This is a
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and implementing appropriate empirical strategies for causal inference, particularly in econometric analyses. Assist in designing new econometric models or adapting existing ones to address evolving
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the PI to track the execution of tasks. Participate in weekly project meetings. Participate in the technical and management sides of sponsored research. Contribute to proposals and manuscripts. Participate
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results, prepare reports, presentations, and publications, and assist with progress tracking. Logistics & Administration: Acquire supplies, maintain equipment, support workshops and training sessions, and
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documenting executive interview Tracking and evaluating career development outcomes Entrepreneurship Advisory Support - Provide research and logistical support for entrepreneurship consultation by: Preparing
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be provided), input data, analyze data Track participants for follow-up sessions Attend lab meetings Maintain lab rooms/supplies/equipment, and prepare manuscripts. Flexibility, excellence, and passion
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following up with participants who need reminders to complete study activities via phone call, email and text message Completing detailed participant tracking forms accurately and efficiently using Ripple, a