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Field
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control methodologies) the project will establish a robust framework for coordinating electricity, heat, cooling, and hydrogen flows in distributed energy networks. While the primary focus is on developing
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of publications in computational biology or related fields appropriate to career stage. Experience with pangenomic analysis tools and methodologies. Experience with version control systems (Git) and reproducible
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reasonably be expected from similar bridges. They will also work with a population of laboratory scale bridges in a controlled laboratory environment to examine the feasibility of applying transfer learning
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form part of the PHM. The research work will include the exploration of AI technologies and physics-based control techniques. To ensure impact and relevance, the work involves the measurement and
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will conduct the lab experiment for RAS system for pollution control in recycled water in aquaculture system. He/she will also use machine learning tools to predict and optimize the RAS system. Job
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mine to magnet. What You Will Do: Use and develop minerals and materials databases for computed and measured properties. Predict and control mineral reaction pathways using first-principles
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, upcycled ingredients); AI & automation in food manufacturing - smart sensors, digital twins, and AI-driven food quality control and processing; Food safety - supply chain tracking/monitoring, blockchain
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Assistant under the supervision of Prof. Antonio J. Gil, in order to meet the research objectives of an awarded Research Fellowship in the area of control modelling of EAP driven soft robotics. Specifically
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. Additional Skills (Preferred): Experience with environmental data analysis (R, Python, multivariate statistics). Experience in GIS and ecological mapping. Strong scientific writing skills and command
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to assist in some organizational work related to the work of the centre. A strong command of English is required. APPLICATION PROCEDURE Interested applicants are invited to apply and submit their applications