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The Department of Computer and Systems Sciences. With over 200 employees and 4,500 students, the Department of Computer and Systems Sciences (DSV) is a strong and dynamic research and educational
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intersection of computer vision, AI, and marine biology. This project aims at developing AI-based methods to transform underwater imagery from a simple visual record into a quantitative tool to measure species
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Job Description Are you passionate about computer vision, deep learning, and multimodal AI, and excited to shape how humans and machines communicate? Do you want to help build the next generation of
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publications, citations or scientific careers to test the implications of a model. References Fortunato, S. et al. “Science of science.” Science 359 (2018): eaao0185. https://doi.org/10.1126
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publications, citations or scientific careers to test the implications of a model. References Fortunato, S. et al. “Science of science.” Science 359 (2018): eaao0185. https://doi.org/10.1126
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production of high-quality scientific articles Close cooperation with an interdisciplinary team of neuroscientists, computer scientists and clinicians Your Profile Excellent university degree (Master) in
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is a laboratory position that will require fellows to work at both the bench and the computer. The successful candidate will work with a talented group of students, fellows, and research scientists to
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cooperation without individual fidelity in LLM agents.” arXiv (2026). https://arxiv.org/abs/2606.30454 Required knowledge An excellent academic record in computer science or a cognate field. An Honours degree
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cooperation without individual fidelity in LLM agents.” arXiv (2026). https://arxiv.org/abs/2606.30454 Required knowledge An excellent academic record in computer science or a cognate field. An Honours degree
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Max Planck ETH Center for Learning Systems | New Germany, KwaZulu-Natal | South Africa | 16 days ago
for Science, AI Safety, Bio-inspired Robotics, Biomechanics, Causal Inference, Computational Biology, Computer Graphics, Computer Vision, Control Systems, Deep Learning, Digital Humans, Earth