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backgrounds: Molecular biology, protein engineering, biochemistry. Optical engineering, fluorescence microscopy, image analysis: Development of microscopes and data analysis pipelines used to acquire and
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KTH Royal Institute of Technology, School of Engineering Sciences Job description We are looking for a motivated candidate interested in biophysics and live-cell imaging to join the Advanced Optical
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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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work will increasingly focus on wet lab experiments using cancer cell lines, organoids, and animal models, including imaging and molecular analysis. The project is well-suited for candidates with a
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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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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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include Drive research projects which include analysis of tissue images from multiplex immunofluorescence, spatial proteomics and transcriptomics Drive development of deep learning and computer vision tools