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(DPPs) as a key enabler of circular business models, aiming to reduce CO₂ emissions and improve resource efficiency through enhanced data-driven lifecycle management. A DPP can be viewed as a structured
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of the art in mathematical and numerical modelling of CO2 storage? This might be the right position for you! About the project/work tasks: About the project TIME4CO2 TIME4CO2 aims at advancing simulation
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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
, catalytic reactors and/or gas-flow systems is highly beneficial Experience with and knowledge of mathematical modeling techniques (numerical solution of Partial Differential Equations) Language requirement
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defence of your doctoral thesis is a prerequisite for employment. In addition to your PhD, it is an advantage if you have: experience with ocean numerical model systems, such as the Regional Ocean Modelling
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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
, catalytic reactors and/or gas-flow systems is highly beneficial Experience with and knowledge of mathematical modeling techniques (numerical solution of Partial Differential Equations) Language requirement
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. The project targets modeling formation dry-out and salt precipitation during CO2 storage. The candidate will work on developing numerical models for salt precipitation at pore- to continuum-scale, with special
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complex geometries represents a hazard. It is also relevant to compare the SoK for similar systems using different fuels, and to explore the predictive capabilities of consequence models through blind
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hydrides (e.g., MgH₂) experience with experimental laboratory work, including instrumentation, thermal measurements, and safety procedures skills in numerical modeling and simulation tools (e.g., OpenFoam
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Ability to actively communicate and co-operate within a larger research team is required. Experience with LINUX environments and analysing large datasets from numerical models is an advantage Experience
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) and economics (or related fields). Applicants must have experience in one or more of the topics: Model-predictive control Numerical optimization Econometrics Virtual power plants Power systems and/or