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(predominantly lipid nanoparticles). The group has extensive expertise using large scale research infrastructures to study lipid systems and couples these to biological assays. The group is part of
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modalities (biological, clinical/pathological data and medical imaging), with an emphasis on developing interpretable and biologically meaningful models . Methods include machine/deep learning, image
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develop methods within one, or multiple, of the following categories: Optical engineering, fluorescence microscopy, image analysis: Development of microscopes, fluidics, and data
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for Life Laboratory ( SciLifeLab ) network, a national research infrastructure for life sciences. The successful candidate will join the Scientific Machine Learning group at TDB and SciLifeLab. The
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sequence alignments. In this project, we will conduct a comparative study of noncoding genomic regions. You should have expertise in algorithm design and high-performance computing, particularly in
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to enable cutting-edge life science research in Sweden. The successful candidate will join the Scientific Machine Learning group at TDB and SciLifeLab (Associate Professor Prashant Singh), which
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, of which 60 are PhD students. Read more about MBW at www.su.se/mbw. Project description: We are seeking a highly motivated and talented postdoctoral scientist to join the research group of Ylva
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students, and to work in cooperation in an internationally-oriented, competitive research group. Fluency in spoken and written English is required for this position. The workplace The Cantù Lab is located