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to contact us. You will find contact persons at the bottom of the jobpost. Interviews will be held in late March or the beginning of April. Further information Read more about our recruitment process here
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have a strong profile within computer science, computer engineering or similar, and have an interest in media deliver infrastructure, including Edge and Cloud computing We expect: A Master’s degree in
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self-learning autonomous robotic systems for reliable operation in extreme environments. Our research strengthens robotic autonomy and resilience, enabling systems to operate safely and with minimal
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around building and deploying AI in healthcare. The main case will be automation of anesthetic pre-screenings. Potential auxiliary cases include evaluation of laparoscopic surgery and AI assistance
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generating new theoretical insights into the role of PBL in emergency contexts, clarifying how crisis conditions reshape learning and organisational processes, and advancing methodological approaches capable
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, turbulence mixing models) and to evaluate the effects of key operation conditions during flame-wall interaction (e.g., wall distance and injection pressure) on combustion, heat transfer and emission
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are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here. The assessment of candidates
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shortlisted for assessment or not. The hiring process at Aalborg University may include a risk assessment as a tool to identify potential risks associated with new hires, ensuring the safety, compliance, and
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or not. The hiring process at Aalborg University may include a risk assessment as a tool to identify potential risks associated with new hires, ensuring the safety, compliance, and integrity
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C++). Familiarity with robotics software frameworks such as ROS, MATLAB/Simulink, and simulation environments like Gazebo or Unity. Experience developing software for real-time sensor processing