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relevant field such as Computer Science, Biomedical/Electronic/ Mechanical/Automation Engineering, Applied Mathematics/Physics. Highly motivated to build machine learning models and algorithms for real world
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, simulation modelling and digital twin technology. Key experience and competencies: PhD in a relevant subject (Essential) Experience of (agro) ecological field work – ecological surveys, sampling and monitoring
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Danish University, the Alexandra Institute, and the University of Copenhagen. The candidate will be co-supervised from both the Centre for Language Technology and the Department of Computer Science and
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. The project takes place in a highly collaborative and multidisciplinary environment with regular interactions with physicists and quantum engineers. Profile We are looking for a highly motivated and