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sources. Implement predictive, rule-based, or optimisation-based control strategies using MATLAB/Simulink, Python, or embedded software tools. Integrate controller logic with the microgrid model and
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focus on AI and machine learning and should be able to design and validate advanced control strategies for grid-forming inverters, apply AI and machine learning to battery health prediction, and
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is searching for a Control Engineer for developing health-aware model predictive control (MPC) for fuel cell hybrid electric vehicles (FCHEVs). Fuel Cell HEVs provide a long-term solution to
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the maritime value chains. The objective of this PhD project is to develop AI methodologies for the analysis part of condition monitoring (CM) and predictive maintenance (PM). The primary challenge in predictive
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, physics, or data science. They should have strong analytical skills in the context of machine learning and/or numerical mathematics, as well as an excellent command of a programming language, preferably
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, real-time control, and IT/OT integration for battery production, including digital twins, model predictive control, industrial IoT, and advanced automation architectures. The aim is to develop next
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environments, and version control systems. The candidate will collaborate with cardiovascular researchers, clinicians, and statisticians to translate genetic discoveries into clinical applications and contribute
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English: Dialect and Social Change in Real Time. Project website: https://generationsoflondonenglish.org/ Led by Principal Investigator Professor Devyani Sharma, the project and corpus represent the largest
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controlled systems. The end goal is a mechanistic and clinically relevant map of how CIN shapes cancer behavior and where it can be targeted. What you will do Build robust, reproducible scRNA-seq analysis
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protocol design and analysis. Prior experience with MEG or EEG is a plus. Good command of scientific English (oral/written). • Qualities: Autonomy, appetite for interdisciplinary work, organizational skills