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Adrian Svendsen Bensvik 21st September 2025 Languages English English English The Faculty of Biosciences and Aquaculture PhD position in Genomics – insights into anisakidosis Apply for this job See
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natural language processing, Dr Matthew Hitchings, who will offer cutting-edge insight into high-throughput sequencing and a strong background in comparative genomics and bioinformatics and Professor Lewis
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-service involvement, develop typologies of need, and uncover spatial and temporal trends. Combining data science techniques with stakeholder engagement, the project aims to generate actionable insights
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Research theme: "AI and Robotics in engineering", "Digital security and resilience", "Digital security and resilience" How to apply:uom.link/pgr-apply-2425 Number of projects: 1 This 3.5-year project has EPSRC DLA funding. For UK students only and EU students with settled status. Tuition fees...
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Status: Open Applications open: 25/11/2024 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information The CSIRO Industry PhD Program (iPhD) is a four-year research training program, focusing on applied research that benefits industry...
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Characterization Techniques Study the advanced electrochemical characterization methods. Gain deep insights into the reaction models associated with PCFCs. 3) Understanding of Electrocatalytic Performance and
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, statistical physics, fluid mechanics, phase transitions, non-linear dynamics and chaos! Doctoral Insights Symposium Sign up here to learn more about us and other structured PhD Programs across Europe! Applied
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factors that provided novel insights in this repair pathway (van Toorn et al., Molecular Cell, 2022, Geijer et al., Nature Cell Biology, 2021, Tresini et al. Nature, 2015, Schwertman et al. Nature Genetics
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hypertension. This project will investigate AQP biogenesis at the ER, pinpointing when and why misfolding occurs. Insights from this research could greatly advance our understanding of AQP biogenesis and ER
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an understanding of the underlying magnetic processes through complex data analysis and computer simulations. You work in close collaboration with theoretical physicists to test models and develop new insights. Your