63 postdoctoral-human-computer-interaction PhD positions at Technical University of Denmark in Denmark
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‘bringing science to life’ and we believe in openness, inclusiveness, having ambitions, making a difference and collaboration. You will play a role in the sensor part of the research section, interacting with
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undermine this future. Can you see how Machine Learning, Computer Vision, and Robotics can open up opportunities for autonomously operating agricultural robots? Are you passionate about making agriculture
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qualifications As our new colleague in our research team your job will be to develop novel computational frameworks for machine learning. In particular, you will push the boundaries of Scalability, drawing upon
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in the Danish energy sector. As a PhD candidate, you will join the Energy Markets and Analytics (EMA) Section within the Division for Power and Energy Systems (PES). The EMA Section is renowned for its
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our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Prof. Henning
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“Bioactives – Analysis and Application”. As part of this prestigious Alliance PhD program, you will collaborate closely with Queensland University in Australia and the University of Copenhagen in Denmark
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; to stop this, alternative ideas are required for the new generation of anti-fouling coatings. Anti-corrosive coatings Corrosion can lead to structure failures that have dramatic consequences for humans and
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health, climate, and energy. However, they face unique challenges due to long development cycles, high capital intensity, and complex commercialization paths. Building a stronger understanding of these
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general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally recognized for the excellence of its research, education
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(ORR), oxygen evolution reaction (OER), and carbon dioxide (CO₂) reduction. Collaborating with theoretical research groups to guide the design of active site structures through computational modelling