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novel and unique-, dynamic operated, e-Methanol process based on a 1 MWe electrolyser for green H2 production and is developed with project partners HyGear and HoSt. Focus is on (i) predictability and
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Are you intrigued by coherent structure formation in geophysically and astrophysically inspired flows? Are you interested in the abstraction and statistical description of this process? Are you
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sectors. To this aim, water electrolysis is the key technology enabling the conversion of (green) electricity into hydrogen. However, this pivotal process still suffers from low conversion efficiencies. One
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Education A master's in physics or electrical engineering is required for this post. Additional requirements Experience of solar cells and solar generators for space applications; Experience in technology
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Challenge: Solve computational bottlenecks in the modelling of mechanics of metallic systems. Change: Develop new physics-informed machine learning algorithms and predictive models. Impact: Enable
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physics or in a physics related discipline. In particular, we want the candidate to have expertise in a branch of optical imaging, and development of experimental setups in, in combination with a skill set
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Are you intrigued by coherent structure formation in geophysically and astrophysically inspired flows? Are you interested in the abstraction and statistical description of this process? Are you
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. - Conducting simulations of radiation effects in components and materials, using suitable devices and physics-based software tools to produce new or improve existing models. - Coordinating such activities
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to the traditional understanding of a mere outcome. Architectural design is both an inventory and a curated representation of the available knowledge about an integrated project. The design process is guided by a
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collections and their documentation as collaborators, keeping them actionable and open to revisit and reinterpretation. As such, the focus of the work is on the design artifacts made along the process as a