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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for: PhD Candidate, Reinforcement Learning for Sustainable Energy This position is embedded
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, motivated, and creative researcher with a strong background in deep learning architectures, and image analysis and interested in working on interdisciplinary project deeply rooted in biology, and with a
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simulations with deep learning neural networks and swarm robots, virtual reality experiments, animal communication research, and more. In a range of projects, we show that languages can effectively be seen as
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Are you looking for a PhD position where you develop state-of-the-art machine learning methods for the life sciences (geometric deep learning, transformer-based approaches, ...) with a focus on
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PhD positions in ML-guided directed evolution (3.0 FTE) (V25.0085) « Back to the overview Job description Are you passionate about combining the directed evolution of diverse biomolecules with deep
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Computer Science, Artificial Intelligence, Machine Learning, or a related field; Strong background in image processing, computer vision, and deep learning; Excellent programming skills (Python preferred), with
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May 2025 Apply now In human society, communication is an effective mechanism for coordinating the behaviors of humans. In the field of deep multi-agent reinforcement learning (MARL), agents can also
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advantage of specific experience in popular deep learning frameworks like PyTorch and TensorFlow. Demonstrated capability in independent research, exemplified by exceptional performance in the MSc thesis
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Matlab/Python/LabVIEW, with an added advantage of specific experience in popular deep learning frameworks like PyTorch and TensorFlow. Demonstrated capability in independent research, exemplified by
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: New-technology-for-drug-delivery-in-hearing-loss What will you be doing and learning? The two PhD candidates working on this project will have complementary expertise in medical biology and