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                Field
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                This PhD project focuses on advancing computer vision and edge-AI technology for real-time marine monitoring. In collaboration with CEFAS (the Centre for Environment, Fisheries, and Aquaculture 
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                elucidate novel interactions within critical signalling pathways and increase our understanding of signal transduction regulation of fundamental cellular processes. Funding notes: This is a PhD studentship 
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                the subject area and continues to expand its research horizons. It plays a pivotal role in the £65 million Digital Aviation Research and Technology Centre (DARTeC), leading advancements in aircraft electrification 
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                collaboration within interdisciplinary research teams. Application Process: To apply, please submit your CV and a cover letter outlining your research interests and relevant experience to Connor.Taylor 
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                Management and Cultural Practices Chinese Studies Classics and Ancient History Digital Humanities, Cultures and Media Drama East Asian Studies English Literature, American Studies and Creative Writing French 
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                critical component of this is the powder blending process, where active pharmaceutical ingredients (APIs) must be uniformly mixed with excipients to ensure precise dosage and product quality. The performance 
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                programme +2 - covering 2 years of study for current postgraduate researchers 1+3 - covering Master's and Doctoral study Please see Additional Information for 1+3 and +2 application processes. Tenable period 
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                process. Further Information We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We 
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                +2 - covering 2 years of study for current postgraduate researchers Please see Additional Information the +2 application process. Tenable period Studentships available for both part-time and full-time 
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                , the project accelerates trait data acquisition by applying computer vision to herbarium specimens and field photos, as well as large language models to extract complementary information from literature and