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at least 1 million DNA barcodes. The project involves collaboration with a computer vision lab at Linköping University, focused on developing AI-assisted techniques for picking out specimens for genome
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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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systems, and machine learning. While the initial focus of the position is on this project, we offer significant opportunity for the applicant to develop their own independent research trajectory in
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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 fields of information visualization / visual analytics as well as machine learning in close collaboration with ISOVIS members, other research groups of the department, and domain experts within DISA
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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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Analysis, Image Analysis, Machine Learning and Computer Vision, as well as Mathematical Statistics, Probability Theory, and Mathematics Education. The degree courses lead to bachelor, master, and PhD degrees
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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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to analyze histopathology images, clinical and molecular data. Computer vision and deep learning techniques are central in our research projects aimed at improving cancer patient risk stratification. As a