37 phd-sandwitch-in-architecture-and-built-environment Postdoctoral positions at Chalmers University of Technology
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, reliability, and security Converged fiber–wireless architectures Within this environment, the project Agentic AI for self-deployable 6G networks in the edge continuum (EC-DEPLOY-6G) pioneers the use of large
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applied research in close collaboration with national and international universities, research centers and industries. The Division of Dynamics The Division of Dynamics, where the PhD student will be
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be offfered the chance to deepen your expertise in battery cell fabrication and advance towards practical battery pack applications. You will be part of a collaborative environment, working closely
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explainable AI models for personalized treatment planning in sports medicine and orthopaedics. You will work in a highly interdisciplinary environment, collaborating with leading experts in AI, mathematics
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to contribute your own research ideas and take part in supervising PhD students. About the research project The position, starting in the first half of 2026, will be based in the theory division of the Department
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aims to secure the network infrastructure of distributed AI. The focus is on designing resilient architectures and protocols that combine network-level protections with AI- and system-level adaptivity
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) for recent research and messages to prospective members. This postdoctoral project aims to secure the network infrastructure of distributed AI. The focus is on designing resilient architectures and protocols
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-Energy and Plasma Physics at the Department of Physics. Join our innovative team and contribute to exciting research in theoretical fusion plasma physics in a collaborative and dynamic environment. About
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and flexible work environment, with opportunities for collaboration and networking both within Chalmers and internationally. Chalmers is an employer that actively promotes equal opportunities for women
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project focuses on developing and refining advanced organ-on-chip technologies to study and optimize nanoparticle-based delivery systems in biologically relevant environments. The project is strongly