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1. A PhD degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Systems Engineering, etc. 2. The candidates should have strong math, modeling, programming, and
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modelling of electrochemical systems, together with experience in machine learning and data-driven modelling. Research Associate: Hold a PhD in Aerospace Engineering, Chemistry, or a related discipline, or
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theoretical modeling of free-electron-driven X-ray photonics. Working closely with experimentalists, the research fellow will lead the study of coherent X-ray emission from free-electron-driven van der Waals
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in the research project - “Towards efficient stamp forming of thermoplastic composites through data-driven thermo-mechanical modelling”. Qualifications Applicants should have a doctoral degree or an
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intelligence methods to complex biological, clinical, or engineering problems. Familiarity with multi-omic data analysis and predictive modeling is highly desirable. Experience with software development, cloud
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modeling of free-electron-driven EUV nanophotonics. Working closely with experimentalists, the research fellow will lead the study of generating and manipulating EUV radiation on the nanoscale, towards
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Post-harvest pathology Biomarkers, volatiles, and sensors Cold chains and refrigeration technology Data analysis and modelling (R, Python, CFD) Besides that, you have demonstrable experience in project
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College Cork to develop innovative modelling and analysis methods for complex infrastructure systems. The project will develop data-driven hybrid models that capture the interaction between physical
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for analog and RF circuits toward energy-efficient AI-driven 6G transmitters. Your Role and Goals As a Doctoral Researcher, you will: Build hardware-aware behavioral models of analog and RF circuits in Python
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well as partners from collaborating Universities and industry. At Surrey, we adopt an integrated approach that combines experimental studies, multi-physics and data-driven modelling, explainable AI, and techno