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analysis in complex datasets Experience with analysis and visualization of large data. Experience with omics data analysis (e.g. transcriptomics, metabolomics) Great emphasis will be placed on personal
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Are you ready to take responsibility and contribute to life-saving research? At AIDA Data Hub, we work with virtualization, containerization, block and object storage, and much more. You will script
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values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your
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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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, computer science, computational biology and computational statistics. More information about us, please visit: Department of Mathematics . Project description We seek to recruit a PhD student for the following
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these processes using large-scale population genomic data from modern-day and prehistoric humans. The PhD position is part of the The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS
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and advanced causal inference methods to large-scale multi-omics datasets, national health registers, and other comprehensive health-related data sources. Duties The doctoral position is intended
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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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large-scale remote monitoring of organisms or habitats. The future of life science is data driven. Will you be part of that change? Then join us in this unique program! Work duties The main duties
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or R are required (Python is preferred). Experience with analysis and visualization of large data is expected. Fluency in written and spoken English is required. Merits: Proven ability to write