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David Levinson , the successful candidate will contribute to the development of hybrid quantum-classical modelling approaches that support improved analysis, simulation, optimisation, and decision making
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, R, Julia, MATLAB, R, C/C++, or equivalent research expertise in one or more of the following: quantum computing, quantum optimisation, digital twins, infrastructure modelling, mathematical
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, R, Julia, MATLAB, R, C/C++, or equivalent research expertise in one or more of the following: quantum computing, quantum optimisation, digital twins, infrastructure modelling, mathematical
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automate measurement procedures including remote operation of the experiments. You will optimise ptychographic detection and reconstruction methods, collaborating with external companies on adapting
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point defects in diamond for the characterisation of magnetic structures. The setups in the Nieder group are custom-built and the candidate will be involved in their optimisation. This will require device
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temperature, high viscosity, strong corrosivity, etc.). Optimise electrolyte transport and sample introduction into the ICP spectrometer while minimising matrix effects and analytical disturbances. Investigate in
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conversion, automatic control, energy-storage systems, electrical drives, charging infrastructure, system modelling or optimisation. Experience in modelling, simulation or experimental validation of electrical
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using environments like MATLAB or Python, which you apply to tasks such as optimisation, parameter studies, or processing of measurement data. You enjoy working experimentally with antennas and are
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techniques is an advantage, and experience in human pain research is a prerequisite. An opportunity to learn new advanced analysis techniques (e.g., in Matlab, R, or Python) if relevant for the task. Write up