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performance, yet their atomic-scale origin and role in reactivity remain poorly understood. The project addresses this open problem by integrating high-throughput Density Functional Theory, machine-learning
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Production Machine Main ideas of the proposed dissertation topic: The aim of the dissertation thesis is to evaluate the effect of additives on the rheological properties of oil used in a production machine
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quality using computer-aided manufacturing Main ideas of the proposed dissertation topic: The current competitive environment requires manufacturing organizations to continuously adapt to market changes and
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for part-time employment. Starting date: 27.03.2026 Job description:PhD position on physics-based machine learning modeling for materials and process design Reference code: 2026/WD 1 Commencement date
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expertise from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems, neuroscience, and safety and security
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this goal, doped-diamond systems will be considered. The thermal stability of selected compounds under operating conditions will be assessed by means of molecular dynamics simulations with Machine Learning
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is looking for an aspiring PhD candidate to research causal machine learning and uncertainty quantification for Earth Observation time-series. Currently, predictive AI in Earth Sciences relies heavily
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machine intelligence into working AI solutions? We have launched a pioneering research and innovation hub in AI—one that will shape the way humans and machines collaborate for decades to come. Led by Prof
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9 Apr 2026 Job Information Organisation/Company Universidade de Vigo Department T03 Mechanical Engineering, Machines, and Thermal and Fluid Motors Research Field Engineering » Mechanical engineering
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stability analysis and control, machine learning, dimensionality reduction and high-performance computing. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UPR3346-NADMAA-159/Default.aspx