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will: Develop and implement model-based and data-driven (AI) optimization algorithms for battery charging Integrate physics-informed models and data-driven tools to design health-aware charging protocols
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requirements, including link budgets, beam steering, and orbital pointing dynamics. • Experience with optimization methods and physics-informed machine learning. • A strong publication record in antennas
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competencies The applicant must hold a PhD in a relevant field, such as physics, chemistry or materials science, with expertise in thin film growth and characterization. The ideal candidate should have a strong
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unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within verification and model checking, embedded and cyber-physical systems, data-intensive
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understanding of the physical processes of the wave structure interaction. The postdoc position aims at developing a state-of-the-art methodology for accurate testing of such structures in our physical wave basin
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will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here The appointment process at Aalborg University involves a shortlisting process. You
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infrastructure and lab facilities to conduct world-leading fundamental and applied research within verification and model checking, embedded and cyber-physical systems, data-intensive systems, AI, planning
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position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here The appointment process at
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physics First-rate mathematical ability Experience with symmetry analysis, group theory, or topological band theory Demonstrated experience in programming and contributions to open-source software Excellent
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opportunity to join the ERC-funded project “ALPS - AI-based Learning for Physical Simulation”. Expected start date and duration of employment These are 1–year positions from 1 May 2026 or as soon possible. Job