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conducts cutting edge research into discovering new materials for onboard ammonia cracking applications using computational and data approaches. Vision We are seeking PhD student that is motivated by zero
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-disciplinary teams, assist in supervising undergraduate, MSc and PhD students, submit publications to refereed journals and attract external research funding. What we are looking for: Applications are welcome
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about computer data analysis and willing to learn. Laboratory training will be provided but a steady hand is needed for accurate small volume pipetting. You will be working in a team and expected to
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follows: a motivation letter (max. one page) a curriculum vitae with a list of publications and presentations (max. two pages) name, affiliation, and email address of at least two referees (which will be
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In this position, you will work on microscopy-integrable measurement technologies used to study three-dimensional cell culture models of breast cancer tissues. This PhD candidate position is
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This research opportunity invites self-funded PhD candidates to develop advanced deblurring techniques for retinal images using deep learning and variational methods. Retinal images often suffer
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, this project aims to develop a novel modelling and analysis approach to address the mathematical and technical challenges of the fluid-structure interaction (FSI) mechanisms globally. The successful PhD
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access to an NWSSDTP Research Training Support Grant for eligible research expenses. Application process Applications for this ESRC CASE PhD Studentship should be sent by email to the School of Law and
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and PhD students, and communicate your research at national or international conferences. What we are looking for: The successful applicant will have a keen enthusiasm for research in fluid mechanics
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related PhD projects on behavioural change and weight loss. The successful doctoral candidate will lead a randomised controlled trial, including participant recruitment and coordination of laboratory