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international collaborations and access to large, high-quality clinical datasets. About us The Computer Vision Group at the Department of Electrical Engineering conducts research in the field of automatic
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part of SciLifeLab BioImage Informatics Facility (BIIF) as described below. The Vi3-Division gathers a unique combination of expertise in computerized image processing, human computer interaction, and
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systems for analysis, support, and diagnostics, as well as general computer vision applications including autonomously guided vehicles (particularly self-driving cars), image-based localization, structure
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and microscopy imaging to join our interdisciplinary team. The project contributes to the AlphaCell program and ongoing efforts with the Human Protein Atlas and other research groups at SciLifeLab
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, materials science, or related fields. You must have proven expertise in at least one of the following fields: computational geometry, algorithm development, machine learning for image recognition
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team. Together you will ensure optimal operation of the beamline and its two end-stations ‘Diffraction’ and ‘Imaging’ for users and your own experiments. You will take an active role in running
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meritorious but not mandatory). Demonstrated expertise in image analysis, data science, or related computational research, with a strong track record in developing, applying, and supporting analytical methods
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analytical chemistry and mass spectrometry. The project involves developing characterization methods using mass spectrometry (FT-ICR, TOF-SIMS) and imaging techniques (SEM, TEM) for both biological and
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School of Engineering Sciences at KTH Job description We are looking for a motivated candidate interested in biophysics and live-cell imaging to join the Advanced Optical Bio-Imaging Laboratory
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to the development of the research milieu. Requirements PhD degree in a field closely related to the position (e.g., computerized image analysis/processing, machine learning, artificial intelligence, data science