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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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into consideration. We are seeking applicants who have a PhD degree in machine learning, statistics, scientific computing, computational chemistry, applied mathematics, or a related area that is considered relevant
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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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Fellow will devote most of their time to research. There is the possibility of participating in teaching (up to 20%). Requirements PhD degree in Computer Science, Automatic control, Machine learning
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these may be taken into consideration. You should have a strong background in mathematics and experience in digital forensic analysis, machine learning, and visual data processing, with a record of
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learning. The employment is full-time for two years starting from August 1st 2025 or by agreement. Apply latest April 7th 2025. Project description Geometric deep learning refers to the study of machine
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. The group studies the behavioral, neural, and computational principles behind human learning and decision-making in social environments. Our interdisciplinary approach combines behavioral experiments
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to join our team. With Björn Lindström as teamleader and funded by the Swedish Research Council, we are developing a new framework for understanding social learning, social transmission and cultural