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for multimodal machine learning, combining large-scale image data with molecular profiling and clinical data. This includes, for instance, research on deep learning-based image analysis and data assimilation
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internationally. The assistant professor is moreover expected to contribute to the supervision of students, doctoral candidates, and postdocs, to contribute to the administration and leadership of the division, and
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. Development of advanced imaging and characterization technologies (X-ray micro tomography, EPR imaging and spectroscopy) to evaluate performance of electrodes and to map electrolyte chemical composition in
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and textile techniques like tufting, machine-based embroidery techniques or non-interlaced 3D pre-forming. Development of advanced imaging and characterization technologies (X-ray micro tomography, EPR
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stereolithographic, 3D printing and textile techniques like tufting, machine-based embroidery techniques or non-interlaced 3D pre-forming. Development of advanced imaging and characterization technologies (X-ray micro
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stereolithographic, 3D printing and textile techniques like tufting, machine-based embroidery techniques or non-interlaced 3D pre-forming. Development of advanced imaging and characterization technologies (X-ray micro
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a strong multi-disciplinary and international network between PhD students, postdocs, researchers, and industry. Supervision: Alexander Edström is proposed to supervise the doctoral student. Decisions
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integration: combining different proteomics modalities, and complementary data types (transcriptomics, proteomics, imaging). Knowledge on AlphaFold for models in structural protein analysis/proteomics AI/ML
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, imaging). Knowledge on AlphaFold for models in structural protein analysis/proteomics AI/ML Applications: Applying machine learning or AI to predict gene function or discover functional relationships from
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, Autonomous Systems and Software Program – Humanity and Society (WASP-HS) . Project: AI Planetary Futures: Climate and environment in Silicon Valley's AI paradigm This project analyzes the climate and