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analyze how these factors influence vote choice, and how the role of quality in elections can be strengthened. Empirically, the project combines surveys, survey experiments, and text-as-data methods.
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 5 hours ago
. Required Documentation: Resume/Vita Cover Letter Contact Information for 3 Professional References Research Statement Optional Documents: Recent Publications Applications that are missing any of the required
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strong social economy. Building on reflexive ethnographic methodology, data will be analysed collaboratively with the research participants. During fieldwork the researcher will undertake ethnographic
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priorities. This may include: Supporting the design and implementation of community-led research projects. Conducting literature reviews and environmental scans. Assisting with data collection, analysis, and
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comprehensive range of continuing education and networking opportunities - more information about the PhD program at the HZDR can be found here Salary and social benefits in accordance with the collective
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the rich, unstructured information found in clinical notes and cannot effectively gather data on lifestyle and social determinants of health. This PhD project will pioneer a novel, hybrid AI framework
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development of electrochemical sensors detecting environmental pollutants, providing real-time information for effective management. Past and current work includes electrochemical sensors for airborne virus
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Drive a clinical-translational PhD: cohort coordination (with clinical team), sample processing, immune profiling, and data interpretation. Publish in peer-reviewed journals and present at conferences
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The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the
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: development of automated workflows for multi-omics data generation. In this project you will integrate small-scale automated bioreactors with workflows for the generation of high-quality multi-omics data