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About You You are a nationally and internationally recognised research leader with a distinguished track record of publications, sustained research funding, and significant contributions to research
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an established researcher with a strong track record of high-quality publications, external funding success, and research leadership. With up to 15 years of research experience post-PhD (or equivalent when
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Research and Impact Fellowship Position Description About You: You are a mid-career researcher with a growing research track record and research excellence and impact. You are driven by a passion for
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, including peer-reviewed and non-traditional outputs. Have a track record of securing competitive research funding and contributing to successful research projects. Demonstrated ability to conduct research
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/primary care/public health research Demonstrated statistical analysis and manuscript and research proposal preparation skills; including a solid track record of refereed research publications Advanced
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, Python, and/or C++) A strong track record of research output, including journal publications and conference contributions Expertise or strong interest in one or more of the following areas: Computational
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for uncertainty quantification in learned computer vision. The person should have a PhD in Computer Vision or a closely related field, and a demonstrated strong track record in this field. This should include
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track record commensurate with opportunity. Strong engagement skills with the proven ability to establish and maintain successful working relationships. Salary and benefits Our staff benefit from flexible
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analysis. Interdisciplinary collaboration. Critical thinking. Qualifications and requirements The candidate should have a PhD in a topic relevant to regeneration and a track record of undertaking and
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discipline, ideally with an understanding of death studies. You have a proven track record of contributing to research projects and publications, and the ability to work with people from diverse cultural