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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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in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses on methodological development in cryo
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anesthesiology, diagnostic imaging, animal nursing, epidemiology, laboratory animal medicine, surgery, clinical pathology, medicine, and domestic animal reproduction. In addition, the SLU University Animal
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spectrometry imaging (MSI) of brain tissue. The missingness can happen along two dimensions: spatial (super resolution) and feature (data imputation). Enhancing the quality of MSI advances our understanding
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application! We are looking for a PhD student in biomedical engineering with a focus on deep learning for medical images Your work assignments The position focuses on developing methods for federated learning
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functional imaging of kidney epithelial injury Subject area description The project aims to develop and apply novel experimental methods to study functional heterogeneity in proximal tubular epithelial cells
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-of-the-art infrastructure and close interaction with both clinical researchers and AstraZeneca scientists. Subject area Single-cell genomics and functional imaging of kidney epithelial injury Subject area
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spectrometry. The project involves developing characterization methods using mass spectrometry (FT-ICR, TOF-SIMS) and imaging techniques (SEM, TEM) for both biological and inorganic materials. Responsibilities
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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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Help shape the future of vision–language models for medical imaging to solve real clinical challenges! This doctoral student position offers the chance to explore cutting-edge multimodal AI