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researcher to develop next-generation methodologies for control design and dynamic stability assessment of converter-dominated AC, DC and hybrid AC/DC systems. Research topics include converter control design
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children with noma and geographically matched control participants across multiple study sites. Building on our initial metagenomic study of noma, you will develop and apply reproducible analytical workflows
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activation and self-regulation in educational settings within the broader framework of interdisciplinary attention studies. Responsibilities include: Designing, conducting, and evaluating randomised controlled
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problems in the field such as: how to identify new targets for cancer immunotherapy, and how to enable precise control of adaptive immune responses through engineered cellular and recombinant therapies
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the UCD School of Mathematics and Statistics. The successful candidate will lead research focused on developing a scalable, AI-driven quality control (QC) system for synoptic and climate observation data
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. Qualifications Required Education and Experience PhD in Biomedical or Veterinary Sciences, Parasitology, Molecular Biology, Entomology or related field. None. Preferred Qualifications Expertise with the following
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
Requirements A PhD in public health, health behavior, or a comparable field is required. Required Qualifications, Competencies, and Experience Experience with tobacco regulatory science research is required
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Position in Prehistoric Archaeology and Zooarchaeology Job position requirements (skills/languages/required experience) • PhD in Prehistoric Archaeology. • Specialised training or research experience in
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quality control and initial data handling for next-generation sequencing datasets. The successful candidate will independently interpret QC metrics, troubleshoot sequencing issues, and support the growing
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indoor air quality, aerosol science, exposure science, and healthy buildings. Projects may combine controlled laboratory experiments, measurements in real-world buildings, data analysis, and modeling