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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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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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thereafter) for a period of two years. Lithium-ion batteries are a cornerstone of the green transition, powering technologies from electric vehicles to large-scale energy storage. However, charging processes
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stress in aging and longevity, with a particular emphasis on cardio metabolism. Our research Mitochondrial dysfunction and genomic instability are key features of the aging process and are closely linked
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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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uncertainty from climate projections into land-use forecasts. Advance Bayesian and ensemble learning approaches for non-stationary temporal processes. Implement probabilistic diffusion or generative models
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are more than welcome to contact Senior Researcher. Søren Byg Vilsen, e-mail: svilsen@mp.aau.dk Further information Read more about our recruitment process here The appointment process at Aalborg
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) is 2 years, with possible extension of an additional two years. Application procedure Your application must be submitted electronically by clicking ‘APPLY NOW’ below or via this advertisement found
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supplements on an annual basis. The recruitment process Further information on the recruitment process at University of Copenhagen can be found here: https://employment.ku.dk/faculty/recruitment-process/ As an
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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