333 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Sweden
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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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machine-learning conferences such as the Association for the Advancement of Artificial Intelligence (AAAI) and theNorth American Chapter of the Association for Computational Linguistics (NAACL). In 2022
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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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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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neurosciences. We combine advanced neuroimaging methods (e.g., MRI, fMRI, diffusion imaging, PET) with computational and data-driven approaches to unravel how the human brain processes information and shapes our
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outcomes, such as the dynamics of cultural evolution. In this role, you will: Work at the forefront of research in social learning and cultural evolution, developing novel mathematical and computational
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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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, visualization, and development of new computational methods for processing and analysis of large-scale omics data. We welcome applications from candidates with pure computational background and those combining