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School of Engineering Sciences at KTH Job description The research project concerns the development and use of MINFLUX single-molecule microscopy for cellular imaging and dynamic studies
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Parkinson. We use in vitro biophysical analysis to characterise protein aggregates and their formation in combination with advanced live cell fluorescence imaging and cell model development to study protein
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Description of the AMBER project This post-doctoral position is part of AMBER, Advanced Multiscale Biological imaging using European Research infrastructures, which will address scientific and sectoral gaps in
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and Data Science for Spatial Genomics in Diabetes This position centers on the development and application of machine learning, image analysis, and integrative omics approaches to spatial
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also include technique development work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a
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physics, applied mathematics, machine learning, bioinformatics, biophysics, spectroscopy, image processing, ecological modeling, molecular biology, plant physiology, marine biology or an interest in gaining
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work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you
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combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get
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motor behavior analysis. Technical experience with imaging, molecular biology, immunohistochemistry, in situ hybridization are also highly valued. Technical experience with embryo electroporation and /or
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environment project, we will develop automated species and community recognition, particularly focusing on pathogenic soil fungi, with help of deep-learning algorithms fed with microscopic image and Raman