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-waveguide couplings that surpass the time-bandwidth limit of static cavities [Xue2022]. With these components as building blocks, we envision large-scale recirculating circuit architectures [Heuck2023b
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Postdoc position in method development in human statistical genetics, with a focus on classificat...
understanding genetic architecture). Qualifications and specific competences The postdoc position focuses on developing statistical methods, therefore the candidates must be able to demonstrate they have skills
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understanding genetic architecture). Qualifications and specific competences The postdoc position focuses on developing statistical methods, therefore the candidates must be able to demonstrate they have skills
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compliance standards and publish research in leading journals and conferences. Your competencies The successful candidate must hold a PhD in Electrical Engineering, Power Electronics and control with strong
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integrates CRISPR-based genome engineering, quantitative and live-cell microscopy, biochemistry, and computational analysis to dissect how cells sense and respond to replication-associated threats. Recent work
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At the Faculty of Engineering and Science, AAU ENERGY, a position as Postdoc in AI-Driven Grid Flexibility Coordination and Energy Storage Integration, is open for appointment from 01.03.2026
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the synthetic dimensions with the feedforward-based architecture and observe the dynamics of photons in time-frequency domain. The job is within the Villum Experiment project FENIX. As part of your work, you will
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. The ideal candidate thrives in interdisciplinary settings and is eager to contribute to method-driven research with real-world impact. Required qualifications include: PhD in electrical engineering, computer
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genome engineering, quantitative and live-cell microscopy, biochemistry, and computational analysis to dissect how cells sense and respond to replication-associated threats. Recent work from the lab has
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Section of the Mechanical and Production Engineering Department. The group currently consists of 3 PhD students. Our focus is to develop new algorithms that allow to discover interpretable and accurate