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steps in workflows and implement optimisations to maximise yield and data quality Gain experience in interpreting sequencing data and performing quality control in close collaboration with computational
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science, or a related field. Experience in energy transitions research Strong analytical skills, including proficiency in quantitative modelling, data analysis, and scientific computing (e.g., in R, Python
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both oral and written English are expected. The candidate must be capable of independently planning, executing, and evaluating experimental and computational work. As a person, you are enthusiastic
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Do you want to contribute to groundbreaking research in sustainable batteries? This is an exciting opportunity for a postdoctoral position at the Division of Materials and Manufacture, Department of Mechanical Engineering, focused on innovative research in the synthesis of binder and solid-state...