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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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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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adults. The group currently consists of a bioinformatician, a clinical pathologist, three PhD students, and two research engineers. We are part of Lund University Cancer Centre at BMC and belong
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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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and conducts research and teaching mainly in Electrical Engineering and Computer Technology. We are located on LTH's campus in northern Lund. The Division for Electromagnetics and Nanoelectronics has 10
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KTH Royal Institute of Technology, School of Engineering Sciences Project description Third-cycle subject: Biological Physics We are looking for a doctoral student to a multidisciplinary 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
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has a wide range of research spanning Software Engineering empirical research, Software Development in programming languages and tools, Artificial Intelligence, Robotics, Natural Language Processing
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work linked to the prototype workshop. - Contribution to the further development of our programmes in mechanical engineering with a focus on innovative product development. - Contribution to student