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tools and methodologies, to model these relations and offer simulations, best practices recommendations, and proposals for public policies linked to our scientific findings, in order to best adjust
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, progression, and treatment outcomes. Skills in applying causal inference, survival analysis, and longitudinal modelling to link clinical and biological data. Expertise in predictive modelling and AI
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following links provide further information on diversity and equal opportunities: https://go.fzj.de/equality and on specific support options: https://go.fzj.de/womens-job-journey Eligibility rules
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PostDoc/Senior Scientist - Process and Plant Design in the Field of Liquid Organic Hydrogen Carriers
Your Job: Development and evaluation of process concepts in the field of liquid organic hydrogen carriers (LOHC) Development of steady-state and dynamic process and reactor models for the simulation
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machine learning (ML) approaches offer a powerful framework for modeling complex catalytic materials with near ab initio accuracy while enabling simulations at significantly larger spatial and temporal
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theoretical models and numerical tools (master equations, quantum trajectory simulations) to investigate coupling regimes, dynamical phase transitions, and the effects of collective dissipation on coherence and
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to develop simulation models and analyze complex system performance under realistic conditions in one of MATLAB, Python, C/C++ Strong analytical thinking, problem-solving skills, and ability to work
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atmospheric models WRF-Chem and/or CHIMERE, developing new descriptions of primary ice formation from sources such as aviation, wildfire emissions, and mineral dust. High-resolution simulations of selected case
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simulation software modelling the dynamic behavior of dislocations (DDD) in 3 dimensions, coupled with a spectral solver based on FFT. The procedures must analyze the simulated 3D microstructures to compare
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– BI_2 Portuguese version A call for tenders is now open for the attribution of one Research Scholarship within the scope of the Project “UrbanM2O - Effective Monitoring and Modelling solutions for data