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What if you could design systems that not only follow instructions — but understand intent and guarantee correct behavior over time? We are looking for up to two PhD students who want to explore
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Are you interested in developing computational tools to understand the detailed mechanical behaviour of multi-phase materials? Then this PhD position at Chalmers University of Technology might be
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machine learning, computer vision, and materials science. The focus of this position is on development of neuro-symbolic models for the effective behaviour of the complex microstructure of recycled
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simulations Experience of work in the maritime sector or marine management Swedish language skills (spoken and written) Your tasks As a PhD student, your responsibilities will include: Plan and conduct research
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will do Take courses at an advanced level within the Graduate school of Machine and Vehicle Systems | Chalmers As a PhD student, your primary responsibility is to conduct research in shared control using
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responsibilities Conduct high-quality research and publish results in peer-reviewed journals. Collaborate with industrial partners to ensure research relevance and applicability. Participate in PhD-level coursework
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computational facilities for testing & modelling natural clays and access to data on natural slopes in Western Coast of Sweden. These state-of-the-art resources empower you to conduct cutting-edge research with
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) of geotechnical problems, in particular coupled flow-deformation analyses and/or modelling erosion processes Main responsibilities Conduct independent research and research training (80%) Support education and
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in qualitative and quantitative research methods. Familiarity with the conduct of action research and case studies. Familiarity with the Swedish construction industry context. Proficiency in Swedish
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9 PhD students. Main responsibilities • Conduct your own research and take doctoral-level courses to develop your scientific and professional skills. • Present your work and publish your research