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-quality and high-impact research and for creating research networks supporting their careers. We welcome applications across all areas in Computer Science, including Algorithms and theory Artificial
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Researchers in AI-driven atomistic modeling and AI-accelerated cheminformatics to join the Otaniemi Center for Atomic-scale Materials Modeling (OCAMM), hosted by the Department of Chemistry and Materials
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this position will be to do excellent research at the borderland of behavioral, social, and computer science, both in collaboration with the Aalto team and within your existing professional network. We
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energy-intensive infrastructures. Implementing algorithms and simulation models using Python, MATLAB, Julia, or other suitable tools. Analysing simulation and project data, and validating the developed
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University of Turku, New York University Abu Dhabi, and Vrije Universiteit Amsterdam. Requirements A PhD in robotics, machine learning, computer vision, control, or a related field (candidates close
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, mathematics, computer science, or another relevant field, awarded no more than two years before the application deadline. Have a solid background in quantum computing and quantum algorithms, sufficient to
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, or close to completing a doctoral degree, in speech or audio processing, machine learning, signal processing, computer science, or a related field. Strong experience with deep learning and
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advantage. Good data-analysis and programming skills (e.g., Python, MATLAB, or similar). A hands-on approach to experiments, patience in troubleshooting, good communication skills, and the ability to
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, electrical engineering, or computer science. Applicants should preferably have prior research experience in one or more of the following areas: design and fabrication of superconducting devices, cryogenic
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at Aalto University’s School of Science, Department of Computer Science, to work on the project “Autotelic Creative Artificial Intelligence” (ACAI). Critical at its core, the ACAI project seeks to