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are looking for a candidate to support our research activities within the areas of medical and surgical robotics, industrial (dis)assembly and (re)manufacturing, artificial intelligence, control, AI algorithms
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phoneme-level representations to improve intelligibility and robustness in challenging acoustic environments. Your work tasks In this role, you will be responsible for developing and implementing advanced
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The Section for Electrical Energy Technology at the Department of Electrical and Computer Engineering (ECE), Aarhus University, is in a phase of rapid growth in both education and research
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sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT
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. We are organised into teams for admissions, marketing, programme management, careers, and alumni. We are highly devoted to our students, ensuring they have the best possible experience throughout
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intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and
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highly motivated candidate who meets the following qualifications and characteristics: PhD (completed or soon to complete) Software Engineering, Computer Science, Embedded Systems, Artificial Intelligence
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that provides a sufficient degree of background in computer science, artificial intelligence, mathematics and/or data science. Fluency in English and Python are required. Experience working with real-world
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Job Description Are you passionate about brain-computer interfaces (BCIs), neurorehabilitation, and intelligent assistive technologies? The Department of Health Technology (DTU Health Tech