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borders? Requirements Master’s degree in Chemical Engineering, Process Engineering, Computer Science, or related fields. Strong background in modelling, simulation, and/or machine learning. Experience with
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at other ENERPOL institutions, one admitted candidate will advance methods to compute and analyse energy-related household inequality (EHI) using granular Norwegian household data, and the second admitted
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programme Materials Science, Mechanical and Manufacturing Engineering, is open for appointment from 01.04.2026 or soon thereafter. The position is available for a period of 3 years. Job description The PhD
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. The project is co-sponsored by Spirent Communications, a world leader in navigation and testing technology. Spirent will provide advanced simulation tools, expert support, and industry placements to help make
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. Advanced modeling techniques, such as surrogate modeling, machine learning, and physics-informed neural networks, will be applied to accelerate simulations and enable real-time performance. A strong emphasis
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techniques Writing and submitting computational proposals to obtain the computational resources required to accomplish the project Engage in the international simulation community Publishing the results
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physics-based models for circuit simulations. The characterization and modelling work will be in strong collaboration with a second Ph.D. student within the same project, who develops ultralow-power circuit
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of the group. Finally, the doctoral student will have to fulfill the course requirements of the PhD program as outlined in the relevant rules and documentation available at the ki.se website. What do we offer? A
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program under the MARIE SKŁODOWSKA-CURIE grant agreement no 101227277. Research areas: DC5: High-Voltage PPU for E-sail Terms : The position is limited to 36 months. The period of
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Framework Programme? European Union / Next Generation EU Reference Number 165526 Is the Job related to staff position within a Research Infrastructure? No Offer Description Analysis and design of algorithms