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, including immunogenicity, circulation half-life, and acoustic signal evaluation. Data Analysis & Publication: Process and analyze experimental data, draft high-impact scientific manuscripts, and present
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signal processing, imaging, inversion, or source characterization, is highly desirable. Proficiency in Python, C++, or Julia, with strong numerical modeling, data analysis, and reproducible code
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information about LIACS, see https://liacs.leidenuniv.nl/ What you bring Ph.D. degree in computer science, acoustics, signal processing, or a related field; Good publication record in ML, and/or computational
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producing reports and scientific papers. Minimum requirements: Knowledge of digital signal processing, data analysis, and signal or data compression methods; Knowledge of mathematical and statistical signal
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to young and talented scientists with the ambition to grow. For more information about LIACS, see https://liacs.leidenuniv.nl/ What you bring Ph.D. degree in computer science, acoustics, signal processing
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will include implementation and optimization of machine learning models, biomedical signal processing, software integration, support for mobile application development and experimental validation
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flex desk in Leuven/Heverlee. The candidate will have access to exceptional vibration and acoustics lab facilities and the new Automotive Test Center facilities (https://thomasmore.my360.be/3d/campus-de
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leading academic environment in this field, and contribute with our expertise in areas ranging from nanoelectronics, phototonics, signal processing, radio technology and acoustics to satellite technology
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area, namely Mechanical Engineering, or related fields. b) Experience in the numerical modelling of acoustic phenomena, particularly in acoustic streaming and cavitation processes. c) Experience in
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Karlsruhe Institute of Technology - Institute of Applied Geosciences - Division of Geothermal Research | Karlsruhe, Baden W rttemberg | Germany | 3 months ago
. Efficient monitoring requires automated processing of the large volumes of data generated (several TB) to extract transient seismic signals, such as microseismic events, from the anthropogenic noise, which