23 application-programming-android PhD positions at University of East Anglia; in United Kingdom
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ADM, one of the worlds largest food ingredient suppliers, this PhD program will explore the impact of novel milling technologies on microbial accessibility of carbohydrates in food ingredients. Using
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valuable fundamental knowledge with potential for immediate practical application in agriculture in disease risk management. The student will be embedded in the Saunders Lab at the John Innes Centre, which
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and support seaweed industry innovation. Additionally, the successful applicant will conduct an industrial placement at Biotechnica. Methodology: You will receive training in advanced metabolomics, e.g
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(a.beekman@uea.ac.uk ) or Professor Wenbo Ma (Wenbo.Ma@tsl.ac.uk ). The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering fully funded studentships for October 2026 entry
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genetics, plant pathology, and computational biology. The student will also spend a minimum of 3 months at KWS UK. The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering fully
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PhD and Postdoctoral community, with expert supervision and strong peer support throughout. The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering fully funded
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receive mentoring and outstanding training in modern crop genetics, genomics, data analysis, and bioinformatics. The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering fully
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PhD Studentship: Decoding Campylobacter pathogenesis in chickens: From colonisation to contamination
and immunological techniques, confocal microscopy and bioinformatic analyses will be provided. The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering fully funded
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Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering fully funded studentships for October 2026 entry. The programme offers postgraduates the opportunity to undertake a 4-year PhD
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change accelerate, we urgently need smart, evidence-based tools to plan, manage, and protect our marine ecosystems. At the forefront of this innovation is machine learning. Its ability to process complex