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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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in this unique program! This PhD position is placed at The University of Gothenburg. The Department of Chemistry and Molecular Biology conducts high-quality research and education in Chemical sciences
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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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. Academic and Research Excellence: Demonstrated high-quality academic performance, including strong grades and relevant degree projects. Prior research experience in computational biology, functional genomics
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spatial immune cell niches in cancer. Advances in high-throughput spatial omics technologies measuring various analytes now capture this complexity in remarkable detail, providing groundbreaking insights
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experienced researchers and have access to high-performance computing, university servers, as well as a rich national network of neuroscience expertise through SciLifeLab and the DDLS Research School. We
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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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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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. Experience with fluorescence-based characterization of lipid mixtures, including via imaging and spectroscopic methods, are a plus. Willingness to perform or analyze additional computational simulations
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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