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the Computer Science study program. The stipend is open for appointment from August 1st 2025 or soon thereafter. The PhD students will be working on topics within the general areas of formal methods, model checking and
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. The project delves into areas such as hardware-based security measures, tamper detection, and the integration of explainable AI models within embedded platforms. Situated within the esteemed IVHM Centre and
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students and senior researchers from multiple disciplines to tackle challenges in sustainable aluminium through AI-driven microstructural analysis. The NEST-WISE project offers a vibrant collaborative
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have a relevant Master’s degree in Energy Science, Energy System Modelling, (Energy) Meteorology, (Energy) Engineering, (Energy) Economics, Climate Risk/Impact Assessment, or a related field. You are
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interdisciplinary training in AI, modelling, and data analytics Contribute to real-world engineering applications Be part of the dynamic research community at the Zienkiewicz Institute for Modelling, Data and AI
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of Technology is leading the new ARC Industrial Transformation Research Hub for Future Digital Manufacturing (DMH), a five-year initiative funded by the Australian Research Council. In collaboration with partner
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amine-based CO2 capture plants. This position at the Department of Chemical Engineering at NTNU focuses on chemical absorption and, more specifically, on the modelling of solvent degradation. Carbon
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year project, funded by the DDLS program, we aim to develop AI-based tools in design of affinity ligands, such as the prediction of binding interactions between proteins. Data-driven life science (DDLS
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environment in the fields of science, technology and administration as well as for the education of highly qualified young scientists. Laser plasma accelerators are leading a new generation of ultra-compact
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consisting of PAT and mechanistic / data driven modelling allowing process control. Steps to be taken will be: Developing a process applicable PAT method (single / multisensoric) for AAV / LNP / VLP detection