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access to state-of-the-art laboratories, expert supervision, and collaboration with a wider multidisciplinary team of scientists and industrial partners. The project is expected to generate critical data
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Supervisors: Professor Greg Hannon and Dr Ben Nicholson For further information about the research group, including their most recent publications, please visit their websites: https
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to prostate cancer progression. This information will support the setting up of a clinical trial where anti-microbial agents are used to prevent prostate cancer development, resulting in significant
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This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at
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Meier and the wider Systems Science in Public Health team within the Public Health Unit, School of Health and Wellbeing. HealthMod is a large UK-wide research programme which connects scientists
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driving invasion. You will work closely with our partners in African countries where An. stephensi has been detected to co-develop and implement the analysis plan for their data sets on mosquito vector
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those from non-European countries Additional comments Website for additional job details: For additional information about this DC position, please contact the scientist-in-charge/supervisor: Assoc. Prof
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, and materials science, with a strong publication record (h-index 36, i10-index 69). The second supervisor is Dr. Indrat Aria, a materials scientist with expertise in low-dimensional nanomaterials and
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of the faculty. You are expected to collaborate with relevant other scientists as well as representatives of cities, municipalities, associations, and industry to the extent that is necessary for the position
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future generations of research and development professionals; data specialists; technology experts; inventors; and scientists for industry and society. The Atomic Scale Physics group at the Department