25 parallel-computing-numerical-methods PhD positions at Chalmers University of Technology
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We are currently offering a PhD student position focused on developing new AI-driven methods for molecular engineering, with an emphasis on the discovery and design of solid polymer electrolytes
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to construction processes, policies, or material flows. Familiarity with research or practice at the intersection of building production methods, circular business models, and sustainability transitions. Experience
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range. Also, FR3 band antenna arrays can be realized in energy and material-efficient manner by additive manufacturing methods, such as 3D printing. 3D printied antenna array will also be investigated as
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computational tools developed by our research team for addressing a timely societally relevant problem. Project overview The aim is to unravel the anthropogenic and natural processes, and their relative
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cladding materials. We will develop a full methodology for computational design, robotic 3D printing, assembly and disassembly of the panels, and demonstrate their application in typical insulated wall frame
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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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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