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advanced modelling approaches—such as finite element analysis —to capture the nonlinear, multi-physics nature of soft materials. By integrating experimental data and validating simulations, your work will
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here . Further information Further information may be obtained from Carlos Acevedo-Rocha: cargac@biosustain.dtu.dk Google Scholar profile: https://scholar.google.com/citations?hl=en&user=yZDS88IAAAAJ
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at DTU here . Further information Further information may be obtained from Carlos Acevedo-Rocha: cargac@biosustain.dtu.dk Google Scholar profile: https://scholar.google.com/citations?hl=en&user
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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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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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to receiving your application and to supporting your academic growth as a researcher in SDU Robotics. Further information Please visit us on LinkedIn: https://www.linkedin.com/company/sdu-robotics . Further
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have, a PhD in palaeoproteomics, archaeological sciences, or a related field. You have laboratory skills in in palaeoproteomics and associated computational data analysis. You have an active interest in
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(co-PI Buchhave, https://arielmission.space ). Additional information about the Exoplanet Group at DTU Space can be found at http://www.exoplanets.dk . Responsibilities and qualifications We are seeking
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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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@au.dk) Applicants must have a relevant PhD degree in biology, biogeochemistry, hydrology, glaciology, oceanography, geoscience or physics. Field experience, data analysis and programming (e.g., python