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, including high-throughput screening, high-content imaging, omics technologies, and computational approaches, to elucidate mechanisms of toxicity. Ultimately, our work contributes to a deeper understanding of
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intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for
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universities. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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initiatives in applications of genomics and proteomics Integrate sequencing data from external and public resources to improve clinical research outcome Supervise postdocs, graduate students and technical
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Spatial metaTranscriptomics methods and thus also handling of image data. The PhD student will interact with other team members to a large extent. For this purpose, we are looking for a PhD student with
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fluorescence microscopy (from single-molecule imaging to intravital microscopy), electrophysiology, respirometry, microfluidics, organoid cultures, bioprinting, and excellent opportunities to work with various
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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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on understanding the role of protein dynamics in this process. Main responsibilities You will work together with structural biologists and computational chemists, primarily carrying out molecular simulations
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. SciLifeLab Lund is comprised of a consortium of nine advanced research infrastructures, with a broad spectrum of focuses that include genomics, proteomics, imaging, structural biology, pharmacological
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research infrastructures SciLifeLab, Swedigarch and ArchLab. The Ancient DNA unit is in operation since 2019 and the interest in the unit’s services is large across Sweden and internationally. At the Ancient