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the following requirements: A PhD degree in Chemical Engineering, electrochemistry, or related fields. Solid knowledge and demonstrated skills in one of the following areas: coordination chemistry
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learning and data augmentation for soil and biomass carbon forecasts; developing a computational framework for data production in cooperation with Research Software Engineers; collaborating and coordinating
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; developing visualisation prototypes to communicate uncertainty to end-users; contributing to a computational framework for data production in cooperation with Research Software Engineers; working closely with
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please use the following link: www.rug.nl/research/ape Qualifications Candidates should have a PhD degree in materials science and engineering. A strong background in chemical vapor deposition and
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: autonomous and fault-tolerant systems (including health monitoring systems), advanced guidance, control, estimation and optimisation techniques and tools, and the technology development of GNC sensors with a
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is embedded in the TechMed and DSI Institutes. [https://www.ram.eemcs.utwente.nl/] About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses
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is embedded in the TechMed and DSI Institutes. [https://www.ram.eemcs.utwente.nl/] About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses
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management related tasks will also be part of the candidate's responsibilities. Requirements Candidates are required to have a PhD degree in computer science, mathematics, electrical and electronic engineering
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anharmonic DFT calculations of PAHs available in the team You will implement neural networks based on PAH molecular structure to predict their anharmonic spectrum You will test the accuracy of topological
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materials performance. Developing the understanding of the piezoelectric film structures and their functional properties using characterization techniques such as AFM, XRD, SEM and DBLI and detailed analysis