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project “ComDisp: Community-Centered Modeling of Housing-Related Health Disparities.” ComDisp develops a grassroots modeling framework to predict health disparities under different climate change scenarios
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is part of the Norwegian Research Council funded Center for Sustainable Subsurface Resources (CSSR). About the project/work tasks: The successful candidate will contribute to the development and
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/work tasks: The position is part of the Belmont Forum project “ComDisp: Community-Centered Modeling of Housing-Related Health Disparities.” ComDisp develops a grassroots modeling framework to predict
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design, and empowering AI with the goal to develop a new De novo design method. More information about eHACS can be found here: https://www.uib.no/en/rg/brenk/152446/escaping-combinatorial-explosion-expert
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, wearable and nearable sensor data, continuous glucose monitoring data, self-reported data, and multi-omics analysis to develop predictive models for steroid hormone disorders, particularly adrenal
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sectors. These developments challenges traditional concepts of authorship and inventorship and raise complex legal issues such as the rights to AI-assisted and AI-generated works and compensation for use
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focus on women's health. The long-term goal is to develop innovative diagnostic tools to predict adverse female health outcomes by integrating extensive epidemiological and molecular data from three
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areas are basic and applied research in psychology, cognitive neuroscience, health promotion, child welfare services, speech therapy, pedagogy and educational science, as well as global and development
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will participate in the continued development of the research environment, and assume an active role in project development, attraction of external funding and dissemination. The primary language of
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of informatics in the development of our society. Research and education in computer science are crucial for the digital transformation of our society to succeed. The Department of Informatics at the University