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collaborators. Under this job title, you will develop a CFD modelling platform to evaluate the combustion, flammable and toxic gases emission and dispersion characteristics resulted from battery fires/thermal
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of the SU(N) Fermi-Hubbard model and its low-temperature phases at the microscopic level. Share this opening! Use the following URL: https://jobs.icfo.eu/?detail=1003
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screens to identify potential synthetic lethal interactions with the pathogenic variants of PPM1D. Selected hits will be validated using xenograft mouse models. This project will identify new
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Healthcare Monitoring We welcome applications from those with expertise in or across these disciplines: Computational materials modeling: DFT, molecular dynamics, phase-field modeling, or multiscale
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Model. Int. J. Hydrog. Energy 2014, 39 (9), 4516–4530. https://doi.org/10.1016/j.ijhydene.2014.01.036. ; [3] Carral, C.; Mele, P. Modeling the Original and Cyclic Compression Behavior of Non-Woven
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version of the ORCHIDEE continental surface model. · Evaluate vegetation responses and feedbacks to climate and greenhouse gas forcings for future and past climates. · Support the integration of vegetation
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gas analysis, a GC/MS, and an HPLC/MS. DFT calculations will be performed using annual allocations on national high-performance computing centers. More details here: https://iramis.cea.fr/en/nimbe/lcmce
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of today’s most pressing environmental challenges. Greenhouse gases (GHGs) and industrial emissions such as methane (CH₄) and hydrogen (H₂) directly impact air quality, safety, and climate change. Yet
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: Computational materials modeling: DFT, molecular dynamics, phase-field modeling, or multiscale simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis
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energy systems. Skills and Competencies: Good understanding of shipping, port operations, energy systems, and greenhouse gas (GHG) management. Strong data analysis and modeling skills. Proficiency in