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dynamics to cellular metabolism. The student will receive broad training in cell culture, genome engineering, live-cell imaging, biochemical assays, proteomics, and computational data analysis, and will work
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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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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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world-leading research environment through the development of paradigm-shifting knowledge about bio-based wood adhesives in three research areas: raw materials and formulations, aspects of adhesives, as
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tissue using spatial transcriptomics, electrophysiology, imaging-based assays, and integrative data analysis. The goal is to map disease-related cellular states and spatial patterns of dysfunction in
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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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, manage infrastructure as code, and troubleshoot source code. If you have a solid foundation in Unix/Linux and are ready to dive into complex technical challenges, then you are the one we are looking
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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