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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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-cell imaging and analysis will be used to investigate cell and cluster morphology. The scientific interests and background of the PhD student will be a major factor in the design of the project. A person
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role in communication, radar, imaging, and measurement systems. This project focuses on developing advanced theoretical frameworks, algorithms, and methodologies for analysing, designing, and
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provides a vibrant interfaculty research environment and there is access to a wide range of state-of-the-art imaging, metabolomics, genomics and screening facilities. The Sixt lab is part of the Laboratory
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environment project, we will develop automated species and community recognition, particularly focusing on pathogenic soil fungi, with help of deep-learning algorithms fed with microscopic image and Raman
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radar signals), (ii) Medical image analysis, and (iii) Machine learning/artificial intelligence. The group boasts extensive experience in fundamental research within computer vision, machine learning and
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, and DNA repair. The research group study the biological functions of quadruplex DNA structures in the genome by using a variety of biochemical, biophysical, imaging, and molecular biology methods, and
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advanced imaging methods. --[Video about Karolinska Institutet, how we all work towards "a better health for all"] -- Application The application is to be submitted through the Varbi recruitment system.In
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to formalize a biological question into a computational model. Merits: Computational genomics, medical statistics, computational biology and/or imaging analysis. Experience with NGS (10x platform, Smart-Seq
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methods that use light to explore biological systems and processes at the molecular, cellular, and tissue levels. It includes experimental light microscopy and image analysis, such as super-resolution and