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ICT Services & Applications. Your role The successful candidates will join the Computer Vision, Machine Intelligence and Imaging research group, led by Prof. Djamila Aouada, to conduct research in
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
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computer software; Assisting with preparing grant applications to secure further funding for relevant projects; Helping establish new projects and research consortia relating to the Zuccolo Group research
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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with Artificial Intelligence and deep learning concepts for robotics computer vision, tactile sensing, reinforcement learning Experience with robotic simulation tools e.g., ROS, Gazebo, Mujoco, IsaacSim
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one of the following topics: extended reality (virtual reality, augmented reality) human-computer interaction computer vision The capability to successfully conduct research projects in
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outreach activities, including engagement with students and the broader public For further information, please contact Prof. Eva LAGUNAS at . Your profile Ph.D. in Electrical/Computer Engineering, Computer
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of the Konstanz Research School Chemical Biology (KoRS-CB), an interdisciplinary graduate school of the Departments of Biology, Chemistry and Computer & Information Science. Our doctoral researchers are supported
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English skills High level of motivation for independent and team-oriented research work Proficient computer skills, particularly in MS Office (Excel, Word) Flexibility, commitment, team spirit, and a strong
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hold a PhD in oceanography, marine ecology, computer sciences, data sciences or similar. We expect that you have: Expert knowledge on network modelling, especially aimed at ecological applications Strong