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the development of system-level digital-twin and optimization methodologies—integrating electrolyzer models with renewable generation, power electronic conversion, energy and hydrogen storage, downstream processes
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related field at the level of a master degree Programming skills (Python) and experience with common machine learning platforms Experience with deep learning, computer vision, medical image analysis
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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 Are you a Star Talent? Open postdoc positions at the Faculty of Medicine
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at an international level. • Contribute to future research funding applications. • Contribute to a collaborative research environment on Campus Aalborg. Your main task as a postdoc will be to conduct and publish
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applications for a three-year PhD Stipend from October 1st or soon hereafter in dynamic modelling, simulation and optimization of Power-to-X processes for renewable fuel production. The project is primarily
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, computer engineering, computer science, data science, mathematical engineering, robotics, or a closely related field. The candidate should have solid mathematical and analytical skills and a strong interest
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technologies Research Field Computer science » Informatics Computer science » Cybernetics Computer science » Other Engineering » Computer engineering Engineering » Electronic engineering Engineering » Other
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hydrogen storage, downstream processes, and energy demand, to enable more efficient, flexible, and economically viable Power-to-X operation. This position is expected to start from 1st of November 2026 or as
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candidate’s workplace will be in Aalborg. As part of this project, you will investigate the impact of generative AI on creative processes and design novel ways of integrating GenAI in professional design
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and Collaboration; Natural Language Processing; Probabilistic and Symbolic AI; Physical and Embodied Interaction; Quantum Systems Analysis and Synthesis; Systems Design & Development Practices; Web