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Do you have experience with modelling structures subjected to dynamic loading? Are you interested in data-driven methods for modelling applied loading? Are you eager to share your knowledge within
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. Close collaboration with our neighboring Departments (Mechanical Engineering, Electrical & Computer Engineering, Molecular Biology & Genetics, iNano, Biosciences, Food, Agroecology, and Chemistry) is a
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research and development projects). The candidate will implement a simulation framework to explore different configurations of management practices to reduce the impact of agricultural systems
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parasitology, immunology and with relevant experience in molecular and bioinformatic research methodologies. You must have strong interpersonal and communication skills and demonstrated your ability
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project “ALPS - AI-based Learning for Physical Simulation”. Expected start date and duration of employment This is a 2–year position from 1 October 2025 or as soon possible. Job description You will be