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practices. Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ WIFORCE Research School Do you want to contribute to the future sustainable use
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with industrial application using sensor systems, systematized software production and scientific production and writing, designing, building and testing laboratory prototypes for predictive maintenance
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. We will prioritize hits with suitable predicted drug metabolism and pharmacokinetic properties for optimization using organic synthesis. Finally, you will validate specificity using biophysical methods
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programming skills (primarily in Matlab, Fortran, or others) and experience in numerical modelling and time series analysis, Fluent command of English, both spoken and written (sufficient for independent work
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execution models towards designing the next-generation unified cloud stack. CloudNG has a strong emphasis on performance and performance predictability, sustainability, seamless accelerator integration, and
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efficiency and reliability. Strong background in data analytics, leveraging insights to drive operational improvements and predictive maintenance. Experience in control strategies and automation, ensuring
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-driven and machine-learning approaches for the analysis and integration of complex neural and movement data, supporting new insights into the mechanisms underlying human motor control and rehabilitation
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Palaiseau, le de France | France | 2 months ago
appelé Cloud-Resolving Model (CRM). Il s'agit d'un modèle atmosphérique non hydrostatique simulant un domaine local relativement petit (quelques centaines de kilomètres, comparé au rayon de Jupiter de 70
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Sharing – Building a federated data space to enable responsible data integration and cross-project learning. AI & Modelling – Using shared data to power advanced models that help describe and predict
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-temporal machine learning method development, including: generative models for grid-based and particle-based spatio-temporal data; controlled generation methods for data assimilation; and graph-based multi