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of Technology , we conduct advanced research in data-driven nutrition, health, and food science. With large-scale diet and health data, omics data, biomarkers, digital food and health services, we establish
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nanotechnology at Chalmers. Chalmers is now offering three Excellence PhD positions in the field of Nanoscience and Nanotechnology, as well as 12 additional PhD positions with specific research topics within
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networking and computer security, and genuine interest in the PhD project. We value a collaborative attitude and an interest in working both in teams and independently. Self-motivation, attention to detail
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large animals with similarly built brain vessel network as humans are necessary to obtain a relevant information. This is a pilot trial in which the sheep will be anesthetized and continuously monitored
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deployments or data collection in real-world environments) Familiarity with current AI technologies (e.g., machine learning, large language models) and an interest in their application to embodied systems. What
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conducting research "in the wild" (e.g., field deployments or data collection in real-world environments) Familiarity with current AI technologies (e.g., machine learning, large language models) and an
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superconducting circuits. You will work in the stimulating research environment of the Wallenberg Centre for Quantum Technology (WACQT) . The core project of the centre is to build a quantum computer based on
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of Fluid Mechanics, Department of Mechanics and Maritime Sciences. You will be leading research activities in a large EU project and will have the oportunity to collaborate with large institutes and aviation
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of advancing Swedish academia and industry to the forefront of quantum technology, and to build a Swedish quantum computer. The student contributes to this project to explore fundamental and applied questions in
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research in data-driven nutrition, health, and food science. With large-scale diet and health data, omics data, biomarkers, digital food and health services, we establish predictive models for evaluation