10 parallel-processing-bioinformatics PhD positions at Aalborg Universitet in Denmark
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of Computer Science, Section for Copenhagen, Natural Language Processing The Department of Computer Science at The Technical Faculty of IT and Design invites applications for four fully funded PhD stipends in the area
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through online surveys and interviews, prototype development for accessible setup and operation of nanoservers (both on web and mobile platforms), and longitudinal evaluation of the prototypes through live
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Interaction / Human-Centred Artificial Intelligence Help shape the future of work. This PhD project investigates how collaborative AI agents can support communication, learning, and shared understanding in blue
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of the jobpost. Interviews will be held in late March or the beginning of April. Further information Read more about our recruitment process here. The assessment of candidates for the position will be carried out
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engineering, or similar. Solid mathematical and analytical skills, including signal processing and optimization. Knowledge about classical and/or quantum data communication, including for instance error
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conditions during flame-wall interaction (e.g., wall distance and injection pressure) on combustion, heat transfer and emission characteristics in the CVCC. The position is offered in relation to the research
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for reliable operation in extreme environments. Our research strengthens robotic autonomy and resilience, enabling systems to operate safely and with minimal supervision in challenging settings. How to apply
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, MATLAB/Simulink, and simulation environments like Gazebo or Unity. Experience developing software for real-time sensor processing or robotic systems is expected. Soft skills: Strong communication skills in
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particular EEG responses, thereby mapping stimulus-response relationships in both space and time. Understanding these dynamic informational patterns is key to revealing how the brain tracks, processes, and
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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 integrity