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At the Faculty of Engineering and Science, AAU Energy, a position as Postdoc in Electrochemical Impedance Spectroscopy and Advanced Signal Processing for Lithium-Ion battery diagnostics is available
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Are you motivated by unravelling how fundamental cellular processes are regulated? Do you want to pioneer the discovery and development of innovative tools and methodologies to decode poorly
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in high-speed continuous-variable secure quantum communication using a broadband squeezed-light source and advanced digital signal processing (DSP). Leading the development of lightweight DSP pipelines
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in robotics, AI, signal processing, and autonomous systems to join the SonicEye research project, funded by the National Defence Technology Centre (NFC) and conducted in collaboration with leading
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to the project, uniting experts in battery technology and acoustic signal processing and machine learning. The goal is to harness advanced data science techniques to establish a novel paradigm for online non
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at the leading edge of science and aims to dramatically expand our knowledge of the processes, signals and factors allowing a gene to be transcribed while integrating with protein synthesis and protein turnover
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overarching goal is to dissect how maternal IL-6 signalling and SOCS3-mediated immune inhibition in the placenta determine whether the fetus responds to maternal inflammation by immune activation and/or
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communication, applied AI, or a related field. You have experience with machine learning and signal processing, and preferably knowledge of RF or wireless systems. You can work with experimental data (e.g
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connections, measurement of relevant electrical signals, designing and building: water cooling system, gate drives, signal to power interface cards, designing magnetic transformers and inductors including