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. The Departments share advanced technological platforms, enjoy both basic and applied research across all kingdoms of life, and have access to national facilities such as SciLifeLab and Swedish high-performance
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of polyploid genome evolution across contrasting timescales. The student will receive interdisciplinary training in bioinformatics, evolutionary genomics, and high-performance computing within the DDLS data
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health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create
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tissues or cells at cohort scale have documented proficiency in High Performance Computing (HPC).Practical experience running large-scale jobs on an HPC cluster, including CPU large-memory node management
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multiple research groups in neural circuits, computational neuroscience, sensory physiology, and neurodevelopment. You will work alongside experienced researchers and have access to high-performance
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Linux command-line environment and on high performance computer clusters Excellent communication skills in both written and spoken English are required, as is ability to collaborate with scientists
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processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists
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learning models for digital phenotyping and genomics Work with multimodal datasets (images, 3D data, motion, genomics) Implement models in Python (e.g. PyTorch) using high-performance computing
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assays Perform molecular biology techniques (e.g., library preparation, RNA handling, PCR amplification, etc.) Operate and maintain laboratory equipment and ensure high-quality experimental output
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will receive interdisciplinary training in bioinformatics, evolutionary genomics, and high-performance computing within the DDLS data-driven life science framework. Data-driven life science (DDLS) uses