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and pose estimation from ultrasound video, as well as designing a closed-loop robotic system for autonomous ultrasound scanning and navigation. In addition, the candidate will support the dataset
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ecology, biology, microbiology, bioinformatics, or a closely related field is an advantage. Excellent oral and written English language skills are a requirement. Previous experience in computer programming
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. Developing a computer model (“digital twin”) that link physical experiments with advanced control and operation strategies. The model will be utilized for techno-economic investigations regarding flexible
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. Collecting and analyzing data from a full-scale (150 kWh capacity) pilot installation at DTU. Developing a computer model (“digital twin”) that link physical experiments with advanced control and operation
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estimation, and implementing sensor-based feedback control strategies. The project will also explore AI-based and reinforcement learning (RL)-based control approaches to enable intelligent and adaptive robotic
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for soft and continuum robots, integrating advanced sensing technologies for shape and force estimation, and implementing sensor-based feedback control strategies. The project will also explore AI-based and
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Computer Science, Applied Mathematics, Data Science, Computational Statistics, Bioinformatics, Computer Engineering, or related field that provides a sufficient background in computer science, mathematics, and
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degree (see notes below) in Computer Science, Applied Mathematics, Data Science, Computational Statistics, Bioinformatics, Computer Engineering, or related field that provides a sufficient background in
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paradigms and assumptions. Thus, the research project is in the field of econometrics with focus on theory and methodology. The research questions can include, but are not limited to, research on estimation
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of autonomous behavior and their representative demonstrations in challenging simulation environments. IMADA has the unique feature of bringing mathematicians and computer scientists together within a single