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approaches across a range of model organisms to understand how and why we age. As a PhD candidate at FLI, you’ll be part of an international and interdisciplinary environment where basic science meets
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Your Job: As part of an interdisciplinary team, you will develop approaches for the automated and large-scale provision and integration of energy systems data and models and apply data science
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element analysis (FEA) and design for use in research studies involving low- to high-energy impact events using LS-DYNA and other applicable numerical analysis methods/computer simulation codes. Experience
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. Your Role: As our PhD student, you’ll be at the forefront of developing smarter solutions, working in partnership with UK Health Security Agency (UKHSA). You'll use anthropogenic approaches and cutting
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and materials engineering. For more information about the APE group please use the following link: www.rug.nl/research/ape. The project cooperates with the Bernoulli Institute of Mathematics
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The project is structured around three synergistic work packages: Descriptive Analytics: You will conduct a comprehensive analysis of the extensive Pulse dataset, uncovering latent patterns and taxonomies
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recommended. Practical experience with Linux/Unix, High Performance Computing, and scientific programming is recommended. Basic expertise with scientific data analysis. Good skills in scientific writing. We
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-modal datasets. It will use advanced analytical models to generate evidence about new and existing inflammatory pathways and how these will impact the progression of dementia. The PhD (DPhil) programme
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
biochemistry and molecular biology equipment. Additionally, there is a wide range of world-class facilities available for a plethora of analysis methods. The MPI offers programs for balancing work and family
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PhD Opportunity This project will involve epidemiologic analysis of FluTracking and published data to explore how self-testing and vaccination behaviour have evolved over time and characterise