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. Process simulation, cost, life cycle, and social assessment of CCUS value chains. Reactor design, optimization, and sizing using phenomenological and/or CFD methods. Energy system analysis. Strong
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Fluid Balance: How do lymphatics fine-tune the equilibrium between immune tolerance and inflammation? How the optimal interstitial fluids? How the resolution of inflammation and edema? Phenotypic
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, safety, and compliance. Perform preventive maintenance on laboratory equipment to keep them in optimal working condition. Conduct experiments related to identifying metabolites in plant and biological
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 20 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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Postdoctoral researcher (M/F). Modeling damage during earthquakes. Comparison with geophysical data.
work will consist of optimizing the codes that generate input data and process output data. • The postdoctoral researcher will carry out comparative work using data from geodesy and seismology
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; create a community dedicated to an ethic of civil and free inquiry, which respects the autonomy of each member, supports individual capacities for growth and tolerates differences in opinion; treat all
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degradation mechanisms to improve material stability and cycling performance. Scale-Up and Process Optimization: Work on improving synthesis methods for large-scale cathode material production. Collaborations
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metastability processes under different operating conditions (dark, illumination, electrical bias); Spatial analysis of performance inhomogeneities and degradation mechanisms using optical and electrical mapping
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
-criteria evaluation and identification of optimal retrofit strategies. The scholarship holder will therefore work within the scope of assessing the energy performance and environmental impact of existing
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Council (VR). The project is centered around inverse optimal control/inverse reinforcement learning, both for continuous-time and discrete-time systems. In particular, we are looking for a strong candidate