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optimisation of analytical methods for VOC characterization. Chemical analysis of air and rainwater samples using advanced instrumentation. Data processing, statistical analysis and interpretation of large
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demand innovative methods to collect valuable information from battery cells in operando in a non-destructive way. To address this problem, the selected candidate will perform research at the intersection
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an observatory of these ecosystems and to develop data-driven methods that make their activity legible: characterising how illicit practices emerge, stabilise, and spread across platforms, communities, and
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are looking for a postdoctoral researcher in computational methods for aeroacoustics and optimisaiton related to wind turbines. The successful candidates will join the dynamic research team of Prof. Esteban
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ReDiLEEP training in response diversity methods, data management, reproducible code, R/Tidyverse, machine learning and AI for ecologists, visualisation, evidence-based policymaking, science-policy
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focused on advancing next-generation methods across experimental, virtual and computational acoustics. The PhD positions will be hosted in the Department of Audiovisual Engineering, under the guidance
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methods, classical and quantum computing approaches, and global-fit techniques for complex astrophysical signals. Research activities will be carried out jointly between The Instituto de Física Corpuscular
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: Collection, analysis and interpretation of experimental data, using statistical software and other methods to guarantee the accuracy of the results. Dissemination and publication: Assistance to congresses
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of developing of energy autonomous neural interfaces. The researcher will be in charge of the finite elements simulations to predict and design novel materials and device designs for energy harvesting based
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, perform data analysis using advanced statistical methods, prepare scientific manuscripts, and participate in broader project activities such as synthesis, dissemination, and co-creation workshops. Active