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; · Solid background in power electronics and magnetic component design; · Experience with modelling and simulation tools (such as MATLAB/Simulink, FEM software like COMSOL or ANSYS Maxwell
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This PhD project aims to develop and apply innovative photogrammetry-based analytical tools to enhance the spatial and structural characterisation of pharmaceutically relevant materials, with a
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concepts, aerothermal turbomachinery design, and aeroacoustics. We have a strong national and European network and you will use and master both the state-of-the-art and novel numerical design tools at GKN
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from persons with disabilities who meet the requirements of the advertised position. Please note that in order to comply with the applicable data protection regulations, we can only accept applications
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environments. Access proprietary market data and institutional infrastructure, including cutting-edge computing environments and live market simulation tools. Translate research into production, contributing
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landscapes. Research Project This research project aims to develop an integrated resilience assessment and management framework with tools tailored for the process industries subject to NaTech events. It will
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behaviour through these models using uncertainty quantification/machine-learning (UQ/ML) algorithms To optimise the manufacturing process with the help of the simulation tool To support in the development and
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adaptive, automated decision-making tools (e.g., traffic signal control, human–vehicle coordination, logistics optimization, route planning) using reinforcement learning in dynamic environments. Explanation
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learning tools to recommend reaction conditions for the synthesis of novel TRPA1 inhibitors. The project “A machine learning approach to computer assisted drug design” is led by Docent Juri Timonen
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, and analysis using engineering software and tools for component and system development and laboratory prototype testing. Creativity, adaptability, motivation, independence, excellent oral and writing