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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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. 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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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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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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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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-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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Description Join us in seeking exciting new developments using graph theory in nearest neighbor models for active matter! Do you enjoy working with graph theory, and seeing how functions on graphs can inform
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Menéndez Benito). The project aims to contribute to our understanding of how linguistic devices update the Common Ground by carrying out a systematic description and analysis of the evidential uses of verbal