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. This is an exciting opportunity to work on developing GaAs PICs in a project that includes everything from III-V laser epitaxy design and simulations, and fabrication, to system level PIC lidar tests and
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specifically developing and applying new technologies (e.g. mixed reality, movement- and biosensing, remote cognitive testing, mobile EEG) for studying neurodevelopmental disorders (e.g. ADHD, autism, learning
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and conduct field and greenhouse experiments for testing causality in plant-microclimate relationships, especially from a functional ecology perspective. The focus is on tundra plants under climate
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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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the position The main aim of the postdoctoral project is to design and conduct field and greenhouse experiments for testing causality in plant-microclimate relationships, especially from a functional
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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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Principal Investigator in the project’s implementation. Among other research tasks, the postdoctoral researcher will a) help conduct a multimodal analysis to examine how relations between humans, aquatic