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phase where we are developing our working methods together. As an employee within Support services, you will contribute to KTH’s mission to research, educate and create societal benefits, and at the same
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universities KTH, KI, SU and UU and with operations at most other universities in Sweden. The collaboration across university boundaries creates synergies that drive research forward and the high-tech methods
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or advanced statistical methods, to help explore molecular, imaging, clinical and/or epidemiological data. You will apply, adapt and develop machine learning approaches to provide data analysis support to data
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multiple locations in Sweden. It serves as the bioinformatics platform at SciLifeLab, a national resource that facilitates research in molecular biosciences by offering access to state-of-the-art
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microscopy (EM) method development using focused ion beam (FIB), cryo-EM and electron tomography. The position is for four years of doctoral studies, including participation in research and postgraduate
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chloroplasts. This project will develop and apply new synthetic biology methods with the aim to enhance the rate of carbon fixation and conversion in cyanobacteria. Such methods include, for example, CRISPR/Cas
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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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boundaries creates synergies that drive research forward and the high-tech methods enable research that would otherwise not be possible in Sweden. At SciLifeLab, we do not only apply the latest and most
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and includes both basic studies on disease causes and the development and evaluation of improved diagnostics and new treatment methods. More about the department’s activities can be found
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data as well as other modalities (i.e. microbiome) generated using the Spatial metaTranscriptomics (SmT) method. In addition, the PhD student will also apply Spatial Transcriptomics and single-cell