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Software Engineer] to a postdoctoral-level position. The desired start dates would be as soon as possible in 2025. Are you more of a programmer than your researcher colleagues? Are you more of a researcher than
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. Design, test, and document computational frameworks that combine 4D point cloud data, geospatial analysis, and advanced ML/DL algorithms. Integrate dynamic environmental datasets into immersive and
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methods (at minimum, linear regression (OLS) and logistic regression, as well as familiarity with some advanced methods). Proficiency with statistical software (e.g. R, Stata). Ability to work both
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, it will examine how polarized content influences stress, anxiety, depression, and loneliness, and how mental health vulnerabilities increase susceptibility to polarization. Leveraging network science
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. Integrate environmental, spatial, and social data into digital twin models for scenario testing and policy simulation. Adapt co-design methods to local contexts in demonstrator sites (Portugal, Sweden, Italy
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developed will be based on pseudonymization, anonymization, and synthetic data generation. Using real health data as a source of information, we aim to create test datasets and statistical models
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compared with observations, offering a powerful way to test our theories. The combination of novel AI methods and broad statistical analyses will help us pinpoint the exact roles of solar flares and coronal
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, calibration, and the development of analysis tools and software. Our key focus areas are the physics of jets, top quarks, and EWSB, including the development of novel machine-learning methods for high-energy
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minimum of one scientific peer-review publication related to the topic) and experience in using LCA software (e.g. SimaPro, Gabi or OpenLCA) or LCA databases in other modelling platforms have ability
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analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems. The department has extensive