410 parallel-processing-bioinformatics "https:" positions at University of Nottingham in United Kingdom
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Course: PhD studentship Project title: Exploring a One Welfare approach to human-animal-computer interaction in digital dairy technologies Principal supervisor: Charlotte Doidge Other supervisors
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human-animal-computer interaction lens, examining how digital tools shape farmer-cow relationships, perceptions of care, and welfare‑related decisions. The project will investigate how farmers engage with
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of complex behaviours such as void formation and brittleness. In parallel, you will explore formulation and processing strategies to improve toughness, reduce embodied energy and eliminate the need for cold
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develop a digital twin of the PFA cure process, combining mechanistic modelling with neural‑network‑based prediction of complex behaviours such as void formation and brittleness. In parallel, you will
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, single cells technologies including 10x Genomics platforms and otthers. The facility maintains several dedicated servers and HPC resources for data processing, and the post holder will take a leading role
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holder will be responsible for the day-to-day running of this programme of work as part of Dr Chiari’s research team within the Cells, Organisms and Molecular Genetics (COMGen) group (https
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team within the Cells, Organisms and Molecular Genetics (COMGen) group (https://www.nottingham.ac.uk/research/groups/cells-organisms-and-molecular-genetics/people/index.aspx ). The role will primarily
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imaging features to phenometabolic signatures from tissue samples taken during surgery and matched to the imaging. The project is part of the imaging theme for the new Nottingham Brain Tumour Research
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for Innovation for Sustainable Composites Engineering launched in 2024: https://www.bristol.ac.uk/composites/cdtsustainablecompeng/ . Research focus areas: Mechanical Engineering, Civil Engineering, Aerospace
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The Computer Vision Group is looking for an aspiring PhD to investigate multi-agentic AI, LLMs, and VLMs applied to agricultural sciences. Currently, established AI models often fail to generalize