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, Environmental Engineering, or a related modelling field. Experience in process system modelling with good understanding of data-driven modelling/AI is highly desirable. Additional experience of recycling
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to use data and modelling to make historic buildings energy efficient – without compromising their cultural value? Join the research project DASHER at KTH. DASHER (Data-driven Structured Historic Energy
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from large‑scale immune repertoire data and in translating these insights into rational, model‑driven prioritization of high‑quality nanobody candidates. Working at the interface of immunology, protein
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of Applied Learning, the Singapore Institute of Technology (SIT) works closely with industry partners to deliver translational, impact-driven research. This role supports applied food processing
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together to develop solutions for the global challenges of today and tomorrow. Where to apply Website https://academicpositions.com/ad/eth-zurich/2026/phd-position-in-modeling-and-c… Requirements Research
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close collaboration with Prof. Vlasios Mavrantzas (a collaborator in the lab), to capture entropy-driven network-scale effects and refine rubber elasticity models for dynamic networks. Complementary
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 2 months ago
this large panel of skills, the team aims at improving our understanding, reconstruction and forecasting of ocean dynamics, and more specifically to bridge model-driven and observation-driven paradigms
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colleges to support recruitment and yield. Data, Technology, and Operations Lead a sophisticated, data-driven admissions operation, fully leveraging George Mason's CRM platform alongside predictive analytics
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… Requirements Specific Requirements A PhD in Mechanical Engineering, Chemical Engineering, Applied Physics, Computational Science, or a related field. Strong background in numerical modeling and/or computational
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limitations of physics-based models, experimental data, and AI-driven approaches. The research will focus on fundamental thermomechanical and thermofluid phenomena relevant to fusion devices and components. In