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underlying mutation biases alongside fitness landscapes. BioRxiv. doi: 10.64898/2026.07.06.736753 Lytras S, Ghafari M, and Grove J (2026) Studying the Deep Evolution of Viruses in the Era of Artificial
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into concrete solutions for the challenges of today and tomorrow. These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and
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curious to deliver work that matters, your journey starts here! The Machine Learning Department (MLD) at Carnegie Mellon University is a leading hub for research and education in artificial intelligence and
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 1 month ago
driving a transformative initiative to integrate Artificial Intelligence (AI) into scientific discovery, leveraging its capacity to accelerate complex physics-based modeling and analyze vast datasets
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biomedical research. The successful candidate will collaborate within a multidisciplinary research environment at the intersection of artificial intelligence, structural biology, and bioinformatics, advancing
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energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in the future. At TU Delft, our
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on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems
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Computational Neuroscience and AI (CNAI), led by Professor Alexander Mathis, is seeking two postdoctoral fellows to join our team working at the intersection of artificial intelligence and neuroscience. Our
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, while postdoctoral applicants are expected to have a strong publication record in machine learning, artificial intelligence, optimization, or related areas. Excellent communication skills and fluency in
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process