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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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will generate a wide range of contemporary high-resolution next-generation sequencing and array-based genomic and epigenomic datasets across large cohorts of human tumours and experimental models
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You will join the EPSRC-funded project “Behavioural Data-Driven Coalitional Control for Buildings”, pioneering distributed, data-driven control methods enabling groups of buildings to form
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that require treatment while reducing unnecessary detection of slow-growing cancers. You will play a key role in a large mixed methods project as a qualitative researcher conducting focus groups, interviews and
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) for different scientific applications, including simulations, large-scale data analyses and AI. This will involve designing test protocols, building test benches to track power and energy usage, and running
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the design of the nozzle. The work will include the design of a scale- up dispersion system and perhaps the construction of a large-scale dispersion system which can be tested at ground level. There is no
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from which a continuous emulsion flow and recycled gas flow is taken. The work will include the design and scaleup and perhaps the construction of a large-scale system which can be tested at ground
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from which a continuous emulsion flow and recycled gas flow is taken. The work will include the design and scaleup and perhaps the construction of a large-scale system which can be tested at ground
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the design of the nozzle. The work will include the design of a scale- up dispersion system and perhaps the construction of a large-scale dispersion system which can be tested at ground level. There is no
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contemporary high-resolution next-generation sequencing and array-based genomic and epigenomic datasets across large cohorts of human tumours and experimental models, alongside complex drug screening, efficacy