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KTH Royal Institute of Technology, Scool of Electrical Engineering and Computer Science Job description Cellular morphology reflects fundamental biological processes such as division
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, is required to promote knowledge transfer and infrastructure development. The position includes opportunities for career and skill development. The work will focus on image processing and visualization
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At the department, education is conducted in the subjects of computer engineering, electronics, electrical engineering and sound production. The research at the department takes place at
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, life sciences, advanced materials and magnetism. The second branch has a stronger focus on exploring coherence, with diffraction imaging, holography and x-ray photon correlation spectroscopy (XPCS
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, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses
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understanding of cellular processes. You will also use computational image analysis to study variations in protein spatiotemporal expression patterns in relation to the perturbations and other deterministic
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quantitative or computational approaches are required. Prior experience with image analysis, machine learning, signal processing, or structural biology is meritorious but not mandatory. Excellent written and
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++ or similar) and an interest in quantitative or computational approaches are required. Prior experience with image analysis, machine learning, signal processing, or structural biology is meritorious but not
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practical skills in the field of data science, especially. multimodal data analysis. Experience on image processing (especially on MRI data) via machine learning. Programming skills (e.g., Python
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quantitative or computational approaches are required. Prior experience with image analysis, machine learning, signal processing, or structural biology is meritorious but not mandatory. Excellent written and