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-wide traffic prediction Design physically consistent and interpretable machine-learning methods for dynamic traffic systems Test and validate prediction models using large-scale real-world traffic data
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university. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code
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associated repositories), with the possibility to test datasets against publications. The CDPP user committee will be involved in assessing the added value of this work. Environmental impact Given the high
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antecedents. Research topic: The PhD project integrates computational content analysis, discourse analysis, and cultural transfer methodologies to examine the discursive and performative dimensions of diverse
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on AI models and their adaptation to affective tasks; development and testing of prompting strategies and parameter-efficient fine-tuning methods, including PEFT/LoRA; improvement and evaluation of model
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affected by protest? And, when and how does this impact materialize? To address these questions, the PROPEL team seeks to develop and test a political communication theory of protest-public opinion (PPO
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tested in workshops with a wider audience. This will result in an ‘Atlas of Scenarios’ and a ‘Co-Design Toolkit’ for the future regeneration of social housing.• You will draw up a research plan and
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communication skills, both oral and written. Successful candidates will need to provide proof of an English proficiency test (e.g., IELTS, TOEFL, Cambridge English). You may be exempt if you are a national of a
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. The PhD project will therefore study C-UAS concepts and contribute to develop and test solutions that are specially targeting Norwegian needs. The UAV-lab at NTNU has been one of the prime research
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establish the clinical potential of PCCT for chest imaging. The project will focus on identifying relevant clinical applications, exploring promising patient populations, and testing initial hypotheses