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interdisciplinary backgrounds and expertise to foster cutting-edge research with high clinical relevance. Project Description Imaging methods such as magnetic resonance imaging (MRI), computed tomography (CT), and
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School of Electrical Engineering and Computer Science at KTH Job description We are looking for a recent graduate with a keen interest in implementation and adoption of image analysis algorithms
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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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. 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 Electrical Engineering and Computer Science Project description Third-cycle subject: Computer Science This project involves generative modeling
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computational methods with a particular focus on deep learning and image analysis. The research is done in close collaboration with the BioImageInformatics Unit of SciLifeLab . SciLifeLab is a national resource
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at the division. You will also have a responsibility to train undergraduate students, PhD-students and post docs within a range of analytical techniques, particularly in chromatography and mass spectrometry. In
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(www.scilifelab.se ). NGI is one of the largest academic providers of next-generation sequencing technology (NGS) and SNP genotyping services in Europe, offering world-class technologies and support to researchers
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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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method for understanding complex genomic alterations. While sequencing technologies have made a leap forward, work is still needed on the computational side to fully use the technology. This is an