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information about us, please visit: www.dbb.su.se . Main responsibilities SciLifeLabs Cell and Molecular Imaging (CMI) platform offers access to advanced imaging technologies, from cryo-EM and tomography
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through advanced mass spectrometry imaging (MSI) technologies. The employment will be placed at the Department of Pharmaceutical Biosciences , at Uppsala University. Key Responsibilities Perform
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maintaining reproducible and modular data analysis workflows Solid understanding of statistical methods and their application to transcriptomics and image-derived data Familiarity with public biological data
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– protein interactions or enzyme optimization. Main responsibilities The successful candidate will use and develop methods within one, or preferably multiple, of the following categories: Sequence library
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reconstruction, as well as in situ electron tomography approaches to image bacterial multi protein complexes, including cytoskeleton proteins and the mechanisms regulating bacterial polarity and cell division
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), imaging, electronic health care records, longitudinal patient and population registries and biobanks. The applicant is expected to have a strong computational focus on innovative development and application
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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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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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internationally is central. The program aims to create an AI model of a human cell to predict core cellular functions including metabolism and division. It is based on the SciLifeLab Human Protein Atlas
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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 downstream analysis