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project description Applications are invited for a three-year PhD position in Physical AI at Aarhus University's Department of Electrical and Computer Engineering. The candidate will join the Adaptive
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We are offering a three-year PhD fellowship in computational pharmacology and pharmaceutical data science commencing 15 October 2026 or as soon as possible thereafter. Our group and research
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. The PhD candidate will join a new research program led by Assistant Professor Victor Yin, an expert in native mass spectrometry. Project description The overall aim of the PhD project is to develop and
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while maintaining computational efficiency through lower-fidelity simulation of non-critical regions, (ii) virtual sensing techniques for load and stress estimation from limited and optimally placed
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numerical modelling, simulation, optimization, control, or engineering-data analysis. Good programming skills in Python, MATLAB/Simulink, or a comparable scientific computing environment. A fundamental
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industrial partners. In particular, you will: Develop and validate physics-based, data-driven, or hybrid digital twins of Electrolysis systems, capturing their electrochemical, thermal, flow, and system-level
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department of Strategy and Innovation (SI) invites
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electricity generation, energy prices and wider energy-system conditions. The work will combine process simulation with operational optimization, techno-economic assessment and model validation. The research
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Leggio, Department of Chemistry, [email protected] The PhD programme For this position, you can undertake the PhD programme as a three year full-time study within the framework of the regular PhD programme
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operate efficiently and flexibly in response to fluctuations in renewable electricity generation, energy prices and wider energy-system conditions. The work will combine process simulation with operational