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Two postdoc positions in Thermofluid Design and Digital Modeling of Cooling Systems for Electrochemical Reactors The Department of Mechanical and Production Engineering (MPE) at Aarhus University
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description CENSEMAT investigates crystalline energy materials in which non-random local deviations from the average structure play a decisive role. The postdoc will develop atomistic models that connect local
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engineering parts. This position offers a unique opportunity to drive the development of system-level digital-twin and optimization methodologies—integrating electrolyzer models with renewable generation, power
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for the treatment of these diseases, with a focus on ion channels. Our work combines in vitro and in vivo model systems, human tissue analysis, hormone secretion assays, electrophysiology, (live) imaging, molecular
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of detailed models for the design and optimization of pyrolysis plants in interaction with CO₂ capture.” You will drive the development of a comprehensive, modular simulation framework that links all major unit
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postdoc, you will contribute to research and teaching within advanced modelling, optimization and design of composite and lightweight structures for applications such as wind turbine blades. Your work tasks
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research profile is clearly connected to thermal Modelling, and you can demonstrate experience with CFD modelling. You have solid skills in modelling and simulation using Tools and data processing and
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Two full-time postdoc positions are available from 1 November 2026 at the University of Southern Denmark (SDU). One position is a 2-year postdoc within the pharmacoepidemiology group at Clinical
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At AAU Energy, a position as Postdoc in sodium-ion battery state estimation is open for appointment from 1st of November 2026 or as soon as possible hereafter. The position is available for a period
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. The project focuses on the intersection of deep reinforcement learning, probabilistic modeling, and bio-inspired architectures (such as Spiking Neural Networks) to achieve sample- and energy-efficient robust