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algorithms, and long memory, both from theoretical and applied perspectives. Empirical applications concentrate on macroeconomic, financial and climate data. Your mission The successful applicant (f/m/d) will
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are you up for a challenge? Are you motivated to contribute to solving important societal questions by developing algorithms, adjusting existing statistical models and conducting simulation studies
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critical literacy skills to evaluate news in the context of algorithmic personalization and GenAI. It brings together expertise on media and journalism studies, digital literacy and inclusion, argumentation
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research on digital religion and algorithmic matchmaking, exploring how halal dating apps shape romantic interactions in contemporary society. By joining this project, you will be part of a vibrant academic
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algorithms for multi-parameter estimation. The Collaborative Ecosystem: You will be a Post-Doc embedded in the Multi-Modality Medical Imaging group within the strong photoacoustic-ultrasound community
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ESA Graduate Trainee in Advanced RF Payloads and TT&C Subsystems, On-board Processing & Technologies
to work in one or more of the following topics, depending on your background and interest: Software Defined Radio algorithms and techniques for TT&C/PDT applications: Evaluation of Modulation and
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through co-creation events and expert consultation. Collect and analyze data from public sources and literature to monitor allergen risks in novel foods. Develop and implement AI algorithms for identifying
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algorithms, focusing on SNN few-shot, synergic (local-global) and asynchronous learning strategies suitable for real-time and embedded systems scenarios. Finally, you will benchmark the developed system
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multiscale analysis of the mass distribution, as well as that of the flow field structure, and of the force and tidal field that has been shaping the cosmic web. The basic detection algorithms to infer
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partners. The successful applicant is expected to carry out research on the algorithmic foundations of digital platforms for large-scale deliberation. The research has the potential to directly inform the