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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 3 months ago
possible and is limited to three years. Understanding how solids form from fluids is one of the most fundamental questions in the physical sciences. Solid assembly is pivotal to both natural and industrial
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 2 months ago
to three years. Understanding how solids form from fluids is one of the most fundamental questions in the physical sciences. Solid assembly is pivotal to both natural and industrial systems, ranging from
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 2 months ago
and is limited to three years. Understanding how solids form from fluids is one of the most fundamental questions in the physical sciences. Solid assembly is pivotal to both natural and industrial
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the olfactory clefts for mucosal biopsy; (3) access the skull cavity through the nose and the cribble plate for cerebrospinal fluid biopsy. This specific PhD project will focus on design, synthesis, and
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of supercritical fluids, in particular supercritical CO₂; • Previous experience in extraction using supercritical CO₂; • Previous experience in the valorisation of biomass products using sustainable extraction
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 3 months ago
parametric studies following a design of experiments and to generate databases of physical fields that can be used to train generic meta-models [McCabe et al., 2025]. Furthermore, since industrial equipment is
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-resolved simulations. In case a fluidized bed is chosen, a traditional Eulerian Two-Fluid model (TFM) will be compared with a novel Lagrangian Continuous Particle Model (CPM). Initially, engineering
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geoscience, energy systems, materials modelling, fluid dynamics, and other scientific and engineering domains where data-driven models must interact with physical knowledge. Such problems raise fundamental
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and renewable fuel production. You have experience with process-modelling tools such as Aspen Plus, Aspen HYSYS or other related software and are motivated to develop and apply dynamic models of energy
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substantial background in fluid mechanics. Essential skills: Strong knowledge of numerical methods Ability to work effectively in a team Desirable skills / experience: Experience of applying CFD to a complex