530 evolution "https:" "https:" "https:" "https:" "https:" "https:" "Newcastle University" PhD research jobs
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 20 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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together to answer some of the most important questions about the causes, prevention and treatment of disease. We are seeking a Senior Researcher to take the lead in the development of statistical and
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the potential to progress to a DPhil (PhD) in population health. The postholder will support day-to-day operations and contribute to the programme’s ongoing development, taking lead responsibility for several
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for downstream analyses. Data & documentation Analyze flow cytometry and functional assay data. Document experiments and prepare figures and summaries Collaboration & development Work in an interdisciplinary team
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Research Scientist-Assistant Agriculture Data Center Specialist to support the operation, development, and strategic growth of a state-of-the-art agricultural data center dedicated to advancing data-driven
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laboratory analysis of polar ice core gases is highly desirable. The research will include system development and testing in the Ice Core Gas Lab at the British Antarctic Survey and an extended stay in
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, where relevant, PhD level, typically within areas related to wireless communication. This includes course teaching, supervision of project and thesis work, and involvement in the continuous development
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the climate system through the development and utilisation of geospatial foundation models for clouds in the context of climate research. Successful applicants will work closely with IBM and our international
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/research conferences · Participates in the Sylvester Comprehensive Cancer Center Junior Development Program Qualifications Faculty members in the Department of Public Health Sciences will need to meet the
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development center (FFRDC) at Carnegie Mellon University. What you’ll do: Develop state of the art approaches for analyzing robustness of AI systems. Apply these approaches to understanding vulnerabilities in