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triggers localized drug release, achieving high therapeutic concentrations exclusively at the desired site while minimizing systemic exposure. The chemical formulation and engineering of these
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systems, attosecond beamlines, reaction-microscope instrumentation and high-performance data-analysis resources Close scientific interaction with an experienced international team and a broad network
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, representation learning, multimodal learning, multimodal reasoning , domain adaptation, or learning from noisy sensor data Interactive systems: HCI, Mixed Reality, wearable computing, or real-time input systems
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improve nutritional quality and environmental performance as assessed by nutritional life cycle assessment (nLCA) while creating appealing hybrid protein-rich products. Thus, in addition to executing
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ingestion, knowledge retrieval, and adaptive decision-making to deliver high-quality health/ behaviour change interventions with a strong emphasis on performance, safety, and real-world applicability
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what its AI agent says, what happens emotionally and informationally when a conversation is handed from an AI to a human colleague, and how multimodal models can predict the performance of marketing
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experiments, establish quantitative benchmarks, and systematically evaluate the performance of developed methods Develop reproducible research software and contribute to shared software frameworks and
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from sparse phase-contrast CT acquisitions of oncological specimens Comparison with standard histology and assessment of algorithm performance Present results at international conferences as well as
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and electrical measurements to evaluate device performance The work will also involve MIR optical characterization, spectroscopy experiments, and data analysis Profile The successful candidate should
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when necessary. Job description Analyze AI systems where the decision is often high-stake or with long-term impact Design AI systems that lead to efficient and reliable outcomes Write high-quality