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cooling, and two-phase cooling for very high heat fluxes. You will develop and use Computational Fluid Dynamics models in combination with analytical and reduced-order models, and contribute to publishing
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. The work combines physics-based thermal design and process-level system simulation with high-fidelity computational fluid dynamics and fast reduced-order and machine-learning models, so that the final design
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learning/AI for simulation and prediction of the outcome of process unit operations on food and ingredient functionality. Formulation and fluid dynamics of complex emulsions and the mechanisms governing
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in fluid dynamics, weather forecasting, and climate modeling. The role bridges theoretical algorithm design and practical quantum circuit implementation, contributing to cutting-edge research in
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Aalborg University, Department of Energy, Campus Esbjerg, invites
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software and are motivated to develop and apply dynamic models of energy and chemical processes. You are familiar with programming languages and computational tools. Expertise in a particular software
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37 Offer Starting Date 1 Nov 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
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At the Faculty of Engineering and Science, Department of Materials and Production, a PhD stipend is available within the doctoral programme "Mechanical Engineering ". The stipend is open for
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At AAU Energy, a position as PhD stipend is available within the general study program. The stipend is open for appointment from 1/9-2026 or soon hereafter. The duration of the position is three
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student projects). Qualification You should have a background within deep learning, big-data, computer vision, or related fields, as well as experience in in-line process monitoring or similar areas