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) environments. Strong programming skills (e.g. TensorFlow, PyTorch, scikit-learn). AI/ML applications in life science. Large-scale data management (databases, data curation, metadata management, FAIR, etc
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/research/physiology-and-environmental-toxicology. The Science for Life Laboratory (SciLifeLab) is a national center for leading edge technological infrastructures that supports large-scale data and
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authority which means that employees get particular benefits, generous annual leave and an advantageous occupational pension scheme. It is advisable to enter information on what your unit specifically can
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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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artificial intelligence based cellular models on the other hand. You should possess a PhD and research experience in a relevant area, both experimental and data driven research experience is considered
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. The office is also responsible for the coordination and administration of training activities, the planning and organisation of scientific events, and SciLifeLab’s communication and information activities
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life sciences. The system development team consists of two Scrum teams that develop and implement tools for handling big data and web applications for research groups and EU-funded projects. You will be
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students. More information about us, please visit: www.su.se/mbw . The Science for Life Laboratory (SciLifeLab) is a national center for large-scale biosciences with a focus on health and environmental
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. The project explores the role of tumor-promoting inflammation in cancer progression through bioinformatics-driven, machine-learning and multi-omics analyses integrated with experimental data. Ideal candidates
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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