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In many branches of science (e.g., Artificial Intelligence, Engineering etc.), the modelling of the problem is done through the use of functions (e.g., f(x) = y). On a very high-level, we can think
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and basic optimization techniques are essential. Students with backgrounds in Data Science, Applied Statistics, Machine Learning, Statistical Computing, Industrial Engineering, or Reliability
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management of laboratory animals, ensuring optimal welfare outcomes while supporting researchers with accurate data and expert technical services. This is a rewarding opportunity to contribute to meaningful
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determining the appropriate design pattern for a specific scenario, identifying relevant quality attributes for a particular design choice, and recognizing the optimal timing for implementing a refactoring
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, breeding programs, and colony management, maintaining genetic integrity and optimal health status Monitor and analyse animal records, identifying risks, raising issues and making recommendations to ensure
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expert daily animal care, including feeding, watering, cleaning, enrichment, and maintaining optimal hygiene standards Support animal breeding and provide technical services in line with approved workflows
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Skip to main content Main Menu - Primary Home Projects Supervisors Expression of Interest Contact Testing AI/LLM systems Primary supervisor Yongqiang Tian Research area Software Engineering In
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area Software Engineering The objective of this project is to design automated approach to detect bugs in various software, e.g., compilers, data libraries and so on. The project may involve LLMs
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management expertise Ensure alignment with architectural standards and business process optimization The Opportunity We’re seeking an Infrastructure Migration Lead to direct and deliver the technical