54 parallel-computing-numerical-methods positions at Chalmers University of Technology
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and calibration of reports from various sources. Collect and analyse large-scale cross-industry accident data using FRAM (Functional Resonance Analysis Method) within LLMs to identify human-, technical
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will do The course FFY091 is structured around students completing laboratory work, numerical home assignments, and an optional problem set. Based on feedback from previous years, the optional problem
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the preservation of cultural and historical values, and contribute to accessible, high-quality housing. The project will apply qualitative and participatory methods such as focus groups, interviews and workshops. A
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experimental setups and characterization methods may also be part of the work. You will be part of a creative and internationally leading research group with strong practical experience and access to unique
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on some part of this arena, using research approaches that could include for example textual/discourse analysis, interviews, participant observation and co-creative methods. The exact design of the project
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control and its integration with learning-based motion prediction under uncertainty. - Validate methods through simulation and collaboration with industrial partners (Volvo Cars and Volvo Group). - Publish
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interfaces and driver modelling Implementation of control algorithms in mechatronic systems Experimental design and statistical methods Vehicle testing and test methods involving human test subjects What you
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both qualitative and quantitative methods, e.g., case studies, interviews, applied analytics, and field experiments. By developing new theories and applications, you will have the opportunity to solve
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methods, and magnetometry. Who we are looking for To qualify for the position of postdoc, you must hold a doctoral degree in Physics, Material Science, Aerosol Technology or another relevant field, awarded
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vulnerabilities and proposing effective defenses, the project seeks to make the next generation of the Internet more secure, resilient, and trustworthy. About us The Department of Computer Science and Engineering