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Field
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advanced catalytic materials, as well as evaluating and optimising plasma-catalytic processes for CO2 hydrogenation. You will work to get new insights into the reaction mechanisms in plasma-catalytic CO2
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production using historical and future climate simulations. The candidate will be expected to be responsible for conducting model simulations, interrogating results and integrating new processes and mechanisms
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Are you interested in neuromorphic spintronic and can you contribute to the development of the project? Then the Department of Electrical and Computer Engineering invites you to apply for a one year
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numerical models and signal processing methods to detect and understand seismic events directly from communication signals in optical fibers — paving the way for a new class of communication-based seismic
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quantitative field * Demonstrated expertise in programming and scripting (e.g. R, Python, Bash) for data processing, integration and visualisation Proven experience developing and using necessary pipelines
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learning every day. Sending applications implies the candidate’s consent to IFAE to treat their provided personal data according to the current Spanish and European data protection regulations. IFAE is an
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advanced catalytic materials, as well as evaluating and optimising plasma-catalytic processes for CO2 hydrogenation. You will work to get new insights into the reaction mechanisms in plasma-catalytic CO2
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ecosystems, and you are motivated by bringing together state-of-the-art expertise in a high-risk/high-gain project devoted to understanding the molecular cues and neuronal signalling underlying insect
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project supported by funds from the Economic and Social Research Council (ESRC). The project aims to examine emotion processing and emotion regulation in people with convictions for sexual and violent
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methods for the processing and analysis of signals, images, videos, and discrete data, addressing theoretical, algorithmic, methodological, and practical challenges. Several of these methods are applied