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of the four most important diseases for the global burden of disease (non-communicable diseases) and is currently the leading cause of death. Both air pollution and physical inactivity are among the 10 leading
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provides the opportunity to deep-dive into research at the crossroad of the vibrant fields of transition studies, industrial dynamics, climate change, sustainable development and physics. The position will
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growing business in electrodynamic calculations at the EISLAB division. We carry out research in the areas of electronic systems, machine learning and cyber-physical systems. The electronics systems group
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integrated with the units for Oncology, Clinical Genetics, Clinical Immunology, Clinical Pathology, and Hospital Physics at Akademiska sjukhuset, Uppsala. The department has teaching assignments in several
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predictions with physical interactions between biomolecules, our approach ensures that the results are both interpretable and actionable. Our group aims to unravel mechanisms of treatment resistance and to
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project FORWARDS and therefore travels within Europe should be expected. Qualifications: Required: Master degree or similar in a technical field, e.g., Engineering Physics, Electrical Engineering, Computer
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*** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *** Chalmers University of Technology
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degree or similar in a technical field, e.g., Engineering Physics, Electrical Engineering, Computer science. Fluent in English. Meriting: Experience in remote sensing data processing and analysis Knowledge
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candidate ready to embark on research centered on what forms of land-use planning are emerging through digital twins. A digital twin is a digital model of a physical area that can be used for virtually
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are emerging through digital twins. A digital twin is a digital model of a physical area that can be used for virtually simulating different scenarios for land-use development and monitoring their performance