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, or machine learning/data science applied to environmental problems. Project background Successful participants could use coupled global (CMIP) simulations, design and set up new model experiments using CESM2
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systems, and control with a PhD degree from a university in Computer Science, Robotics, Mechanical Engineering, or related fields, with a proven track record in robot navigation control or deep learning
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tools and in the field of production engineering. A further research focus is on novel topics such as additive manufacturing, Artificial Intelligence (AI), Machine Learning (ML), Big Data Analysis
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a PhD in solid-state NMR, DNP, EPR or a related field Have an excellent track record in reserach proven by publications in this field Have a good understanding of NMR theory and computer simulations