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genome analysis, such as alignment, selective sweep detection, phylogenetic analyses, etc. Strong analytical skills and experience working with large-scale genomics datasets Strong experience in
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) develops solutions for digital health challenges. As an emerging European hub for applied artificial intelligence (AI) and machine learning (ML), we aim at modeling large-scale, high throughput biomedical
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”, we are building an AI-powered, chat-based tool that frees scientists from tedious data handling and coding tasks, allowing them to focus on groundbreaking discoveries. By seamlessly connecting top
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discovery Single-cell multiome data analysis at ultra-large scale (>100 000 cells per donor) Spatial transcriptomics Clonal evolution and phylogeny Copy-number changes and complex rearrangements and their
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, glycoanalytics, and big data analysis will be of great advantage. Moreover, you as the postdoc is expected to contribute to inter connective team tasks as well as in teaching and supervision of PhD, BSc, and MSc
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biology or MD degree Previous research experience in immunology (publication track record) Experience in flow cytometry, cell culture, and in high-dimensional single-cell data analysis and programming
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possible thereafter. This is a full-time position for a 3-year period. Job description Agriculture is a large source of anthropogenic greenhouse gas emissions. Significant reductions of greenhouse gas
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, quantum information processors, among others. Job Duties The job duties will be the following: Characterise nanoelectromechanical device-like structures prior to integration into large scale programmable
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comprises a scientific diving group that assists in obtaining samples and executing underwater experimentation. Access to infrastructure required to conduct large-scale omics analyses such as next generation
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large-scale omics analyses such as next generation sequencing and high-performance computing is available, as well as state-of-the art experimental facilities with running seawater. The successful