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and advanced live imaging techniques, and/or computational analysis of spatial omics data — experience in two or more of these areas is highly advantageous Knowledge of cancer biology is a large
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techniques,, and/or computational analysis of spatial omics data — experience in two or more of these areas is highly advantageous A strong publication record, including one or more first-author papers in
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that you will obtain the PhD degree no later than 4 months after starting the Post Doc. You must have experience with quali-quantitative methods, tuning of LLM and computational data analysis and
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the Division for Geomagnetism and Geospace, an internationally leading research environment with strong expertise in space physics, geomagnetism, and data analysis. This position is connected with the ERC
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bioinformatic analysis of NGS data. Hands-on experience in generating high-quality ChIP-seq data. Hands-on experience in culturing mammalian cells. Experience in molecular biology techniques, including use
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profiling and spatial data integration, with high relevance for developmental biology, immunology, and maternal health. Qualifications Applicants should hold (or be close to completing) a PhD in molecular
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. This involves accurate reproduction of the nonlinear waves by the wavemaker by utilization of cyber-physical modelling. Analysis of the generated short-crested nonlinear waves is needed to identify the incident
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advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and analysis of biological systems
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be designed, and carried out, together with a PhD student already working on the project. Data will then be used to estimate behavioral models and integrated into an activity-based models for scenario
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EIS data interpretation through advanced signal processing tools, as well as through postmortem analysis via Scanning Electron Microscopy (SEM). The project also offers the opportunity to collaborate