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innovative solutions for future communication networks and sensing-enabled services. Job description The successful candidate will contribute to research on energy-efficient network design, optimization, and
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-scale conditions and evaluate recycled bio ashes as a source of nutrients or growth-promoting components. The research will optimize cultivation and exposure conditions, quantify metal uptake by
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mass and extracted material and can thus provide engineers and decision makers with important information for safety and productivity optimization. Your mathematical, analytical and problem-solving
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are research in optimization and simulation of manufacturing systems. Teaching or other administrative tasks may be included up to 20 percent. The position requires: completed a PhD in mechanical engineering
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on modelling, optimization, control, and AI applications for smart buildings. The work includes collaboration with international research and industrial partners, publication of scientific articles, and
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. You will design and optimize resilience mechanisms that estimate disruption risk and proactively reconfigure the transport network to enable autonomous recovery, self-healing, and graceful degradation
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. You will design and optimize resilience mechanisms that estimate disruption risk and proactively reconfigure the transport network to enable autonomous recovery, self-healing, and graceful degradation
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AI-driven decision making. It will be conducted in collaboration with the Automatic Control group (from Department of Electrical Engineering) and the Mathematical Optimization group (from Department
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between faculty, postdoctoral researchers, PhD students, and external partners from academia and industry. The Department of Physics and Astronomy is one of the largest departments at Chalmers University
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platform to identify and optimize therapeutic candidates. Our group specializes in developing technologies to assess the multicellular environment within three-dimensional microtumor models. The project