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Max Planck Institute for Mathematics in the Sciences | Leipzig, Sachsen | Germany | about 24 hours ago
Description PhD Position in Stochastic Analysis at IMPRS Leipzig MPI MiS, the Max Planck Institute for Mathematics in the Sciences, will launch a new Emmy Noether Group on "Noise in convection: modelling and
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of the vibrational energy. This project is intended to perform numerical analysis and modelling aimed at the optimisation and development of effective friction dampers. The research studies on friction damping will be
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friendly mode of transportation, but noise and vibration remain a major environmental challenge for the railway sector. Therefore, a wide range of numerical models have been developed for the prediction
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/structural/mechanical engineering with experience and interest in structural dynamics, vibrational analysis, train-track-bridge interaction, signal processing, data science and machine learning. The successful
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huge signal-to-noise degradation due to significant path loss and blockage [3], which can partly be compensated using high-gain beamforming. Physical layer waveform design is also an important challenge
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that connect floating wind turbines to the seabed remain one of the challenging issues in the engineering analysis and design of floating wind applications. Over time, these subsea cables become coated with soft
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, astrophysics, medical scanner, detector development, data analysis, and data science Institution: Astrocent Department of the Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences Project
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collaboration (neuroscience, artificial intelligence, cognitive psychology) and aims to develop a novel theory of auditory scene analysis in the brain and in machines. In Marseille, the group focuses
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or PhD project: Develop and optimize microbial hydrolysis of feather and possibly other keratinous materials at different scale (100 mL, 3L, 42L, 100L). Perform vibrational spectroscopy analyses and
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responsibilities (dependent on experience level of applicant) Develop and improve multi-temporal InSAR processing algorithms (e.g., time series analysis, phase unwrapping, noise mitigation, filtering, atmospheric