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of complex mixtures, experimentally and/or theoretically. Strong background in conceptual process design, simulations tools (e.g. Aspen Plus and Aspen Adsorption), process optimization and TEA. Ability to work
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. catalyst and product characterization. Knowledge of process modeling software (e.g., Aspen Plus, COMSOL, or equivalent) is a plus. Excellent written and oral communication skills in English. Ability to work
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dynamic) using simulation software such as Aspen Plus, gPROMS, or COMSOL Multiphysics. Solid understanding of process control strategies, including model predictive control (MPC), nonlinear control, and
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experience with process modeling and simulation software (e.g., Aspen Plus, COILSIM1D, or similar tools). You have experience in project management and successful acquisition of research funding. You have
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expected to guide experimental research efforts. The candidate will work with Aspen Plus and other process modeling tools. The successful candidate will be able to: • assimilate a wide variety
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platforms like Aspen Plus. In-depth knowledge of electron microscopy, spectroscopy, and structural analysis methods for complex materials. Familiarity with REE and vanadium chemistry, oxidation states, and
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BatPaC model Understanding of resource recovery technologies, supply chain analysis and upstream and downstream processes Knowledge of Aspen Plus or other chemical process simulation software. Ability
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for energy and industrial applications. You will work experimentally with catalyst development, reactor testing, and process optimization with ASPEN. The research includes operating high-temperature systems
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analytical techniques for adsorbent. catalyst and product characterization. Knowledge of process modeling software (e.g., Aspen Plus, COMSOL, or equivalent) is a plus. Excellent written and oral
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Centro ibérico para la investigación del almacenamiento de energía (CIIAE) | Spain | about 1 month ago
programming (any language, but the work may be mainly in Python and Matlab). − Knowledge of ASPEN-type chemical process modelling − Knowledge of energy technologies, including renewable energies, hydrogen