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information processing in event-driven sensing. Information Photonics is widely regarded as the key enabling technology of the 21st century and its application and use in many scientific and industrial fields
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of foundational and agentic AI models (LLMs, generative AI, RAG-based architectures) for autonomous, context-aware decision-making. Researching and implementing trustworthy human-machine interaction methods
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design of formulations and drug delivery systems for small molecules, biologics, nucleic acids, and advanced therapeutics. Biopharmaceutical performance: Mechanistic and data-driven modeling of drug
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important to integrate knowledge on processes of cognitive change and updates among individuals and in interaction with others into our data-driven computational modelling in order to understand broader
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• To build data-driven models of population susceptibility, infection and transmission dynamics. Requirements • Hold a Master’s degree in biomedical sciences, medicine, epidemiology, public health sciences
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About the Opportunity Postdoctoral Associate – Gene Therapy and Transport Modeling Bajpayee Lab at Northeastern is seeking an exceptional Postdoctoral Associate to lead high-impact research in
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 9 days ago
undergraduate research experience (CURE) in biological sciences will introduce students to the process of scientific inquiry as they engage in a hypothesis-driven research project with an emphasis on student
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technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data
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research environments in Computational Science, the research and education has a unique breadth, with large activities in areas such as numerical analysis, mathematical modelling, development and analysis
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by combining machine learning with in-depth knowledge of biological processes. We aim to work towards foundation models and integrative theories of biological systems, and towards innovative AI-driven