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of image analysis and machine learning with a minimum of 90 higher education credits. Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural
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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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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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, such as molecular data (e.g. omics), imaging, electronic health care records, longitudinal patient and population registries and biobanks. To be a doctoral student means to devote oneself to a research
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grounding, in other words, the linking of elements of natural language (words, phrases, or sentences) to visual inputs (such as images or video) in a meaningful way. The position is part of an on-going
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for Spectroscopic and Acoustic Imaging (https://www.photoacoustics.lu.se/ ). The doctoral student will gain knowledge in optical measurement methods, medical image processing, development of computational models, and
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collaborators About the research project The project focuses on designing and evaluating multimodal foundation models that combine text, images, and sensor data for safety-critical applications. It addresses
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technologies for medical diagnostics, treatment, and monitoring. Our research activities span computational modeling, algorithm development (using both traditional signal processing and machine learning
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to address missingness in mass spectrometry imaging (MSI) of brain tissue. The missingness can happen along two dimensions: spatial (super resolution) and feature (data imputation). Enhancing the quality
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, on the Swedish west coast. Information about the project and division The broad goal for this project is to develop prototype HPC and AI systems based on EU-design and developed chiplets using the latest