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simulations, density functional theory (DFT), molecular simulations, or machine-learning potentials. Experience with generative AI, active learning, uncertainty quantification, Bayesian optimization
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Railway Mechanics is the core of the competence center CHARMEC whose research focuses on the mechanical interaction between components in trains and tracks. Among other things, the research provides
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aims to develop new knowledge about how AR can support work in underground mines. The project aims to develop and implement Augmented Reality (AR)-based maintenance support for drill rigs. Its objective
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investigator, other postdocs, PhD students, and external collaborators to advance research objectives and generate high-impact results. In addition to research, some participation in supervision of doctoral
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industry and includes practical process work, sample handling, analysis and interpretation of results in relation to the project objectives. Detailed description of the work duties, such as: plan, conduct
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in relation to the project objectives. Detailed description of the work duties, such as: plan, conduct and document laboratory- and pilot-scale experiments in dairy and membrane processes, develop and
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documents: degree certificate or a statement of the expected date of defense, and two references with email addresses. We will happily handle your application via our ATS (Applicant Tracking System) ReachMee
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, knowledge-driven models and AI-based decision support can be integrated to support resilient and energy-aware manufacturing systems. Special emphasis will be placed on multi-objective optimization, learning
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A well-documented track record of research interests and achievements in an area strongly related to the project You are expected to be somewhat accustomed to teaching, and to demonstrate good
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on the candidate’s profile and selected research track. About the research project DRIVE PR – Data-Driven Product Realisation is a large collaborative research initiative at Chalmers University of Technology and the