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and office working each week What next Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your details. Please contact (Dr Peter
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to root patterning. Integrate molecular and imaging data into a spatio-temporal developmental framework. Research environment and approaches The project is highly interdisciplinary. The successful candidate
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. • Developing research objectives and proposals for own or joint research, within the scope of the research, defined below. • Contributing to deciding what information to include in a bid for research funding
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institution. Whilst all applicants will be judged on merit alone, we particularly welcome applications from groups currently underrepresented in the workforce. Further information For further information a
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proposals for own or joint research, with assistance of a mentor if required Contribute to writing bids for research funding Analyse and interpret genomics, embryo phenotyping and developmental genetic data
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for computer vision and audio-visual AI, enabling award-winning technologies for content production in TV, film, games and immersive entertainment. In 2021, CVSSP founded Surrey’s Institute for People-centred
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agrifood systems and experience in research, data analysis and stakeholder engagement. You will demonstrate initiative and the ability to work both independently and as part of multidisciplinary and
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because of climate change. Working alongside the PI and local academic partners, the postdoctoral fellow will then oversee data collection, which is expected to involve interviews, survey questionnaires
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. Applicants who are shortlisted for interview will need to prove their eligibility to work in the UK. Please see: Right to work in the UK | Selwyn College Further information with the link to the application
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relationships. Purpose of role is to progress the research programme of ‘JD HMI:CPT’, responsibility is to Dr S M Dobbs. Role includes work with participants, laboratory work, archiving of specimens and data