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spectrometry – to detect natural toxins in crops and water at the point-of-need. In this challenging project, you will work as a PhD student to develop novel approaches to impart chemical selectivity on easy-to
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that continuously measure psychophysiological signals, to better capture these dynamic processes. Such technologies may offer new opportunities to gain insight into the interaction between psychophysiological states
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,[email protected] . Visit our website for more information about the application process . You can also contact HR Services, [email protected] . Curious to hear more about what it’s like as a PhD candidate
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point to a wide range of applications, critical challenges regarding color center physics and their large-scale integration remain untackled. As a PhD student in the Errando-Herranz’s group, you will work
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: Artificial intelligence and machine learning. Computer vision and video analysis. Deep learning. Multimodal data analysis. Signal processing or sensor-data analysis. Explainable or responsible AI. Healthcare
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language processing, large language models, machine learning, network analysis, social media analytics, and large-scale analysis of online discourse and communities. This PhD scholarship will be based within
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cultural labor, digital mediation, and changing mobility regimes. Theorizing contemporary world literature as a process of permanent and never fully stable emergence, EMLIT aims to generate innovative and
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cultural labor, digital mediation, and changing mobility regimes. Theorizing contemporary world literature as a process of permanent and never fully stable emergence, EMLIT aims to generate innovative and
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, digital mediation, and changing mobility regimes. Theorizing contemporary world literature as a process of permanent and never fully stable emergence, EMLIT aims to generate innovative and empirically
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), within the ATLAS group. The PhD student will join a large-scale international collaboration and participate in the activities of the ATLAS experiment at CERN. The work will focus on the analysis of data