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to sustainability, and (v) energy efficiency in computing systems. Field of subject for the position: Computer Science with specialization in Machine Learning Placement: Department of Computer Science and Media
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The Department of Physics at Chalmers University of Technology invites applications for a postdoc position targeting machine learning in optics. In this position, you will become part of a
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. The project involves the development of state-of-the-art machine learning techniques applied to robotic applications. The researcher will develop robotic software, collect data and design machine learning
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of Machine Learning and Computational Chemistry. This recruitment is linked to the Wallenberg AI, Autonomous Systems and Software Program (WASP) and Wallenberg Initiative Materials Science for Sustainability
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is carried out in computer vision, robotics and machine learning. The geometric robot learning lab at RPL is now looking for one postdoc in robotics and geometric machine learning. The successful
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description and working tasks The connection between optimization and machine learning is at the heart of many recent breakthroughs in artificial intelligence and autonomous systems. Many machine learning
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and working tasks The connection between optimization and machine learning is at the heart of many recent breakthroughs in artificial intelligence and autonomous systems. Many machine learning
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1 Feb 2025 Job Information Organisation/Company Karolinska Institutet (KI) Research Field Medical sciences Researcher Profile Recognised Researcher (R2) Country Sweden Application Deadline 20 Feb 2025 - 22:59 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU...
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Do you want to contribute to top quality medical research? In our research group, you will find a unique opportunity to work closely with leading experts at the crossroads of neuroimaging and neurosciences. We combine advanced neuroimaging methods (e.g., MRI, fMRI, diffusion imaging, PET) with...
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that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from control theory, machine learning, optimization