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using Cell Painting and high-content imaging. Deep learning and multivariate methods, both supervised and unsupervised. Development of software and pipelines for analysis of large-scale image data
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Cancer is a leading cause of death globally, and analyzing digital pathology images for cancer diagnosis and treatment is a complex problem due to the high data volume, variability, and computational
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, BCI), physiological data, and medical image/microscopy analysis. Excellence in foundational and applied research, demonstrated by publications in leading AI/ML and medical imaging venues (e.g., MICCAI
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and survival in host cells. Through a combination of microbiology, imaging, molecular biology, and translational modelling, the PhD student will generate data to support the design of biofilm-resistant
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Proteomics unit you will be responsible for data management and infrastructure, implementation and development of analysis pipelines. You will work on different datasets and help our users with image and
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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
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the development of hyperspectral 3D electric field imaging techniques in the THz spectral range, utilizing ultrashort lasers and nonlinear optical methods. The work will be conducted at KTH Laser Lab research
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of the identified structures via stereolithographic, 3D printing and textile techniques like tufting, machine-based embroidery techniques or non-interlaced 3D pre-forming. Development of advanced imaging 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