110 structures "https:" "https:" "https:" "https:" "NOVA.id" positions at Chalmers University of Technology in Sweden
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). The network joins 17 international academic institutions and 14 industry partners (https://euraxess.ec.europa.eu/jobs/401249 ). We work together in the field of fluid-structure interaction in technical systems
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or a Master’s degree (magisterexamen) of 60 credits* in Applied Mechanics, Structural Mechanics, Mechanical Engineering, Civil Engineering, Engineering Physics, or similar. Strong written and verbal
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international academic institutions and 14 industry partners (https://euraxess.ec.europa.eu/jobs/401249 ). We work together in the field of fluid-structure interaction in technical systems and industrial
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original research in the area of AI-based program construction or performance engineering, co-supervise one or more doctoral students, teach in the first- and second-cycle software engineering programs
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shapes. Motivating examples include the spatio-temporal dynamics of sweat droplets, interacting cellular or tissue shapes, and geometric structures arising in vegetation such as tree canopies. The work
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devices, or structured media with properties beyond those occurring naturally. To this end, we combine theoretical, methodological and computational techniques, often in close collaboration with local and
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pore‑structure evolution using analytical laboratory techniques and synchrotron facilities. About the position The position is aimed at a doctoral degree and the doctoral student's main task is to devote
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Mechanics and Materials Engineering , we foster an inclusive, friendly, and helpful work environment to which we welcome you to contribute. Our activities focus on the modelling of the mechanics of structures
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. Motivating examples include the spatio-temporal dynamics of sweat droplets, interacting cellular or tissue shapes, and geometric structures arising in vegetation such as tree canopies. The work combines
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such as CAN signals, sensor streams, and simulated state trajectories, with models that integrate physical structure (e.g. dynamics, constraints, conservation laws) into large neural architectures. Physics