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in Python and MATLAB, particularly in machine learning, data analysis, and image processing. Experience working in Linux environments. Ability to collaborate in interdisciplinary teams and work with
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of new techniques for mass spectrometry imaging and single cell mass spectrometry to reveal chemical processes of importance to biological function and dysfunction. The research group has recently received
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, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab
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endocrinologist and an international expert in CAH. The research group further consists of two post-doctoral researchers, of which one expert in brain imaging, three other PhD students, psychologists and pediatric
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on biological processes as well as the impact of biological processes on materials. Our ambition is to foster a dynamic teaching and research environment that is internationally recognized for its excellence in
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microscopy; fluorescence image processing; single-cell and spatial RNA-seq data analysis. What do we offer? A creative and inspiring environment full of expertise and curiosity. Karolinska Institutet is one
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antibodies contribute to muscle pain and, if so, to elucidate the underlying mechanisms. This research will involve analyzing human samples, employing advanced imaging techniques, and utilizing in vivo models
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support. This research project focuses on the functional structure of X-ray detectors based on organic frameworks with heavy atoms, with applications in diagnostics, including medical imaging. The fine
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instrumentation Practical experience in biological sample preparation Experience in programming (Matlab, Python) for image and data analysis What you will do Plan and conduct experimental work Develop scientific
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information from sequence alone, independent from optical microscopy. This adjacency or neighbor-neighbor information can be used generate images in a computer. Today one person can routinely read millions