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PhD project is centred around advanced CFD modelling of liquid green fuel (methanol and ammonia) combustion under engine-like conditions, i.e., in a constant-volume combustion chamber (CVCC
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cooperative behaviors such as joint mapping, coordinated inspection, or adaptive navigation. Digital twin simulation and testing: Developing and using digital twin models to simulate the integrated sensor suite
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for establishing properties of quantum programs - Reduction methods and metrics for quantum systems - Decision diagrams for efficient analysis and simulation of distributed quantum programs - Statistical model
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exchange with top research environments worldwide. The positions are funded by a DFF: Sapere Aude project (“Building TRUST in Text: Linguistically Motivated Language Model Detection”) and an NNF: Ascending
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about 40 % of all employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its
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-analytical errors and build mathematical models to describe these changes. This work can have real clinical impact, potentially resulting in digital software solutions for identifying, and compensating
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surgical robots across various surgical applications, using techniques such as advanced sensing, AI-based and reinforcement learning (RL)-based control, and soft continuum robot simulation. The starting date
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-analytical errors and build mathematical models to describe these changes. This work can have real clinical impact, potentially resulting in digital software solutions for identifying, and compensating
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and reinforcement learning (RL)-based control, and soft continuum robot simulation. The starting date is expected to be February 15, 2025, or as soon as possible thereafter and will be agreed with
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is expected to have a profound knowledge on most of the following topics: Robot control Deep Learning Medical imaging Preferably, the candidate has experience with: Robotic simulation tools Medical