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We are currently offering a PhD student position focused on developing new methods for molecular engineering that leverage live-cell imaging data and artificial intelligence (AI). The position is a
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, Time-Resolved Imaging and Multi-Channel Evaluation of Cellular Dynamics (TIMED) . This project is a 5-year collaboration between researchers at Chalmers University of Technology, Uppsala University, and
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steer-by-wire technology. You will: Participate in the development of a new prototype vehicle Use accident statistics to derive test cases Develop strategies and algorithms for shared control Conduct
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array antenna systems for imaging MIMO radar in autonomous driving applications. This work will advance the design and characterization of intelligent devices and environments for wireless communications
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Sintorn, Professor in digital image processing, at the Department of Information Technology and conducted alongside researchers developing computational methods with a particular focus on deep learning and
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environment with wide-ranging expertise spanning data-driven imaging, clinical science, molecular biology, bioinformatics, and biomedical engineering, all working together to improve atherosclerotic and
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research and methodological development to design and implement novel computational models and solutions. A solid theoretical background and hands-on experience in digital image processing and deep learning
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. To meet the general entry requirements for doctoral studies, you must: Hold a Master’s degree in computer science, image analysis and machine learning, engineering, data sciences, applied mathematics
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) classification and utilization based on advanced AI technologies, such as regenerative AI, image processing and reinforcement learning, that can improve the energy efficiency and reduce the operating cost and
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KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science Project description Third-cycle subject: Computer Science This project involves generative modeling