18 proof-checking-postdoc-computer-science-logic 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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is a multidisciplinary research lab, providing the opportunity to develop extensive skills in a breadth of areas, including plant pathology, molecular biology, and computational biology. Whilst
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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 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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training in molecular biology, gut microbiology, analytical chemistry, industrial engagement, scientific writing, and IP protection. You will develop skills in laboratory and manufacturing practices, present
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(optional). Person specification: Prior experience in computer coding (e.g., Python, SLiM), AI modelling, and understanding of evolutionary or conservation genetics / genomics is desirable. Good teamwork
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-on experience in both laboratory and computational approaches, equipping you with a strong skill set for a career in evolutionary genetics, genomics, or bioinformatics. Person Specification This project is ideal
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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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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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ecosystem modelling using both field-based and modelled physical and biological data. Collaboration with Centre for the Environment, Fisheries and Aquaculture Science will provide exposure to how science