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the deadline. The project is to contribute to a major Ministry of Defence (MOD) research programme intended to develop generation after next technologies for applications in defence and security, and this
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Multi-omics data integration and workflow improvement Development and application of machine learning-based algorithms for the identification of antibiotics-associated proteins and antimicrobial
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Competitive, interdisciplinary, and international research environment with a track record of intense mutual collaboration Structured PhD-training programme with a wide range of an professional development
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to improved animal welfare, reduced antibiotic use, and a more sustainable pig production. The PhD candidate will play a central role in the project, from laboratory method development to field sampling in pig
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.” Research will contribute to the creation of new approaches and standards for an intelligent networks and agentic web with particular emphasis on policy-based authorization, delegation of entitlements, and
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. During the PhD programme, a student would be expected to explore the design of advanced computer networks, both through simulation and the direct execution of workloads on real-world implementations. As
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to implement for the entire network. To address these challenges, the project aims to develop a novel, population-based indirect damage identification system, leveraging data collected on instrumented railway
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) programme which aims to understand how we can change the food environment to prevent diet-related disease and obesity. The studentship will be primarily based at the host institute (University of Liverpool
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 8 hours ago
for the position of research assistant professor with a significant outreach component. Expectations of the position will be to develop an externally supported research program in agroforestry and contribute
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cryoprotective agents (CPAs). Overcoming these challenges is a major unmet need in biomedicine. This interdisciplinary PhD project aims to develop AI-driven approaches to discover safer and more effective CPAs by