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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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methods that use light to explore biological systems and processes at the molecular, cellular, and tissue levels. It includes experimental light microscopy and image analysis, such as super-resolution and
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include Drive research projects which include analysis of tissue images from multiplex immunofluorescence, spatial proteomics and transcriptomics Drive development of deep learning and computer vision tools
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) strategies, primarily revolving around interpretable ML and generative AI, to study complex biological processes. This project combines timely analytical challenges with deep rooted applications in life
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includes image data processing/analysis and writing project reports. Qualification requirements Required Qualifications PhD in molecular biology or equivalent competence. Experience working in a laboratory
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research activity. The project is a teamwork between the research environments the Inflammatory Response and Infection Susceptibility Center (iRiSC) and Man-Technology-Environment (MTM) research center
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biological basis, through technological processes and mathematical support. Your profile We are looking for a candidate with proficiency and documented research experience particularly in immunology and/or
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has a wide range of research spanning Software Engineering empirical research, Software Development in programming languages and tools, Artificial Intelligence, Robotics, Natural Language Processing
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methods that use light to explore biological systems and processes at the molecular, cellular, and tissue levels. It includes experimental light microscopy and image analysis, such as super-resolution and
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Familiarity with large language models or multimodal systems An interest in visual reasoning, educational technology, or human–AI interaction Experience with neural networks for image or video understanding