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responsibilities will include performing specialised laboratory experiments, supporting method development, maintaining a safe and efficient lab environment, and contributing to knowledge exchange through
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PhD in Politics, Sociology, Economics, or other relevant Social Science programme. You will have a track record of use of advanced quantitative methods, including time-series cross-sectional and/or
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in your field. You will possess extensive experience in developing and devising research models, theories, techniques and methods, and clear forward plans for sustaining and enhancing the research
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postgraduate qualification in medical statistics. You will be able to demonstrate you are an expert in a range of quantitative research methods and statistical analysis software packages having applied your
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intelligence, or numerical methods for climate systems, and be confident in using tools such as Python or MATLAB. Additional information For informal enquiries, please contact Professor Valerio Lucarini
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the ability to give and receive information effectively using a variety of methods to communicate with a wide range of university staff, students and agents. Most importantly, you have a passion for providing a
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cardiac surgery. This project is funded by the NIHR HTA. Mixed methods co-design and evaluation of a Decision Support Tool to enable shared decision making for people who are considering cascade screening
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About the role We are seeking a highly organised, motivated, enthusiastic person to join the DECIDE-TAD team to develop methods that promote the inclusion of underserved groups in a multi-centre
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practitioner and educator, you will have the ability to facilitate student learning using a comprehensive range of delivery methods including; lectures, simulations, clinical skills, interactive group work, and
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analytical methods. Experience working with Mycobacterium tuberculosis or other Class 3 pathogens is essential, particularly in conducting infection studies using cell lines or clinical samples and in drafting