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Field
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the development and implementation of machine learning (ML), computer vision (CV), large language models (LLMs), and vision-language models (VLM) to automate data extraction and interpretation for productivity
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This is an exciting opportunity to explore the role of complex microbial communities in promoting resilience and maximising yields in large scale algal bioreactors exposed to different environmental
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, or similar. Organisation and excellent attention to detail. Excellent written and oral communication skills. Ability to work independently and problem solve. Good communication skills to effectively work with
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co-design workshops with men from Black backgrounds and lower income backgrounds, in communities across Yorkshire. You will lead data analysis within the team and help develop targeted recruitment
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communication skills are also essential requirements. Home and international applicants (inc. EU) are welcome to apply and if successful will receive a full studentship. Applicants whose first language is not
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high interest in neurodegenerative diseases and neuroscience is a must as well as excellent communication skills inside the research team and community. The studentship is supported for 3 years and
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Applications are invited for the position of Research Associate in Community Engagement at the Centre for Cancer Genetic Epidemiology, working closely with Professor Nora Pashayan. The successful
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access to personal development opportunities (e.g. research communication and entrepreneurship training) and the ability to interact with two spin-out companies Lineat and iCOMAT. The PhD project will
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of all backgrounds and communities. All employees will be recruited, selected and appointed in line with our equality and diversity policy.
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of all backgrounds and communities. All employees will be recruited, selected and appointed in line with our equality and diversity policy.