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measurements to the results of existing techniques using backscatter to quantify forest attributes through synthetic aperture radar imaging. The overall project, spanning multiple institutions, aims to produce a
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) program. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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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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drug development with the mission to translate academic discoveries into drug candidates for further commercial development. The operation, which has been in place for ten years, has contributed to 15
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. Qualifications We are looking for a very motivated and enthusiastic doctoral student who has Competence and skills: -Strong foundation in computer vision (e.g., object detection, image segmentation) and NLP (e.g
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Gerken (Department of Mathematical Sciences) Project description In many deep learning applications ranging from medical image analysis to quantum chemistry, the symmetries of the underlying problem pose
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in Python and MATLAB, particularly in machine learning, data analysis, and image processing. Experience working in Linux environments. Ability to collaborate in interdisciplinary teams and work with
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intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for
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University of Technology as principals. The department is organized into four divisions: Data Science and AI , Computer Networks and Systems , Computing Science , and Interaction Design and Software
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of new techniques for mass spectrometry imaging and single cell mass spectrometry to reveal chemical processes of importance to biological function and dysfunction. The research group has recently received