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The AI-Driven Energy Chemistry research group at the School of Chemistry, Chemical Engineering, and Biotechnology (CCEB), Nanyang Technological University (NTU), Singapore, is dedicated
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programmability, network exposure APIs, service orchestration, O‑RAN, network slicing, and data-driven optimization. You have proven experience with AI/ML pipelines, including data processing, model training
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Research Associates/Assistants to support a diverse portfolio of research projects at the intersection of infectious disease modelling, Bayesian inference, AI, and public health. Projects span AI-driven
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Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
To strengthen our team in the division 7.7 “Modeling and Simulation” in Berlin-Steglitz, starting 01.07.2026, we are looking for a Research Assistant (m/f/d) with a Ph.D. in Civil Engineering
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boundaries between mechanical engineering, economics and environmental science, this approach will deliver tools for data-driven, sustainable composite design and inform industry decision-making on a global
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environment. We are driven to connect technology development with meaningful biological insights, aligning with the research and clinical missions of St Jude. Candidates with interest and expertise in
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: The postdoctoral researcher will contribute to ongoing research projects in computational modeling, multiscale simulation, and data-driven design of functional materials for structural applications. The position
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. To develop and assess geothermal-driven cooling architectures through modelling, optimisation, and techno-economic analysis, supporting low-carbon cooling solutions for Singapore’s data centre sector. Job
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explainability methods into LLM-based pipelines Develop and evaluate prompt engineering strategies (zero-shot, few-shot) Support experimental setup, data generation, and evaluation of model behavior Write, test
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-driven frameworks for multi-scale modeling, multi-objective optimization, and predictive control of complex chemical and biochemical processes. The research will contribute to next-generation smart