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programme Electrical and Electronic Engineering; as per August 1st, 2026, or as soon as possible thereafter. In electronic engineering, Aalborg University is known worldwide for its high academic quality and
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writing and presentations at conferences and workshops. Qualifications: PhD in Biomedical Engineering, Medical Robotics, Computer Science or a closely related field Strong background in medical image
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related to human-computer interaction and software engineering. Your competencies Applicants should have a strong interest in human-robot interaction and the role of emerging technologies in healthcare
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. The ambition of DTU it to grow the field of research in teaching and learning STEM along with the further development of engineering didactics. Find further information here: https://learninglab.dtu.dk/ DTU
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strategy and working environment is viewed as important. The Department is responsible for a Master’s programme in Molecular Nutrition and Food Technology, taught at AU, Denmark, and a Master’s programme in
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
Science (https://www.sdu.dk/en/om-sdu/institutter-centre/imada_matematik_og_datalogi ), depending on their academic background. The position is open to candidates from computer science, data science
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Tenure Track in Sensory and Consumer Science at Department of Food Science, Aarhus University, De...
strategy and working environment is viewed as important. The Department is responsible for a Master’s programme in Molecular Nutrition and Food Technology, taught at AU, Denmark, and a Master’s programme in
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an experience in technology-assisted monitoring or computational image analysis. Expected start date and duration of employment The position will start in June 2026, with exact starting date as agreed between
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research assistant in our ferroelectric thin-film program, you will gain hands-on experience with advanced deposition, laser processing, and nanoscale characterization while contributing to groundbreaking Fe
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integrates CRISPR-based genome engineering, quantitative and live-cell microscopy, biochemistry, and computational analysis to dissect how cells sense and respond to replication-associated threats. Recent work