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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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(about 1.6 MUSD) for a 5-year period, covering their own salary and other resources, such as salaries for PhD students and postdoc positions. The Fellowships are tenure-track positions with the host
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1.6 MUSD) for a 5-year period, covering their own salary and other resources, such as salaries for PhD students and postdoc positions. The Fellowships are tenure-track positions with the host
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package of 17 MSEK (about 1.6 million USD) for a 5-year period, covering their own salary and other resources, such as salaries for PhD students and postdoc positions. The Fellowships are tenure-track
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Fellows. Each DDLS Fellow will receive a recruitment package of 17 MSEK, which is meant to cover 5 years of his/her own salary, two PhD students and two postdoc positions, as well as running costs
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Image Science and Visualization (CMIV), Linköping University Hospital. Your office will be at CMIV, which is instituted to serve as a melting pot and meeting place between academia, industry, and
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SciLifeLab. To be successful in this position you need a deep understanding of the emerging research field virtual cells, at the interface of advanced molecular cell biology and imaging on the one hand and
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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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application team working with national research infrastructures at Umeå Centre for Electron Microscopy (UCEM). The position is financed by grants from SciLifeLab. The employment is for 12 months. Application
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team working with national research infrastructures at Umeå Centre for Electron Microscopy (UCEM). The position is financed by grants from SciLifeLab. The employment is for 12 months. Application