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tools? This research area sits at the intersection of Human-Computer Interaction (HCI), Artificial Intelligence (AI), and Software Engineering (SE). The goal is to design and evaluate new interaction
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efficient algorithms and machine learning/artificial intelligence methods in combination with complex network analysis tools to predict and model interactions between food and biological systems • Further
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Computer Science, Artificial Intelligence, Mathematics, Electrical Engineering, or a similar subject. Most importantly, you should be creative, passionate about research, driven by curiosity, and be able to think
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in which artificial intelligence methods for autonomous vehicles are being investigated and further developed. Our software for autonomous vehicles is used in our flagship projects such as the Indy
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Future Lab “AI4EO: Artificial Intelligence for Earth Observation – Reasoning, Uncertainties, Ethics and Beyond” brings renowned international organizations across the globe and a rich number of highly
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over the world) and present your work at top-notch conferences and journals in our domain. You should have completed your Master's/Diploma studies with top grades in Computer Science, Artificial
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with top grades in Computer Science, Artificial Intelligence, Mathematics, Electrical Engineering, Physics, Chemistry, or a similar subject. Most importantly, you should be creative, passionate about
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(at places all over the world) and present your work at top-notch conferences and journals in our domain. You should have completed your Master/Diploma studies with top grades in Computer Science, Artificial
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artificial intelligence and robotics. We design systems farmers can use regularly to improve their operations saving them time and costs while improving their crop yields. OUR PROJECT Teamed up with the TUM
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leading group in the field of artificial intelligence in Earth observation (AI4EO). It is in closely collaboration with the Department of EO Data Science, Remote Sensing Technology Institute of the German