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to candidates with a strong quantitative background. We welcome applicants with training in mathematics, statistics, health economics, computer science, or epidemiology, particularly those with good numeracy and
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the age of 21 will have some driving restrictions. Ph.D. or other terminal degree in the field of Computational and Quantitative Biology and Bioinformatics, and/or Ecology, Evolutionary Biology
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. Are you a Computer Scientist looking to apply your expertise to real-world weather forecasting challenges in Africa? Machine-learning has the potential to revolutionise weather prediction for and in Africa
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Department of Land Surveying and Geo-Informatics Postdoctoral Fellow (Ref. 250723007) [Appointment period: eight months] Duties The appointee will assist the project leader in the research project
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laboratory team members to ensure high performance and skill development Foster cross-functional collaboration with research teams, industry partners, and international collaborators Coordinate work across
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Advanced Practice Provider (APP) fellowship is an innovative one-year training program that teaches APP fellows to become highly skilled in the multidisciplinary, collaborative, and evidence-based management
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female academics. We are seeking a Research Fellow to play a key role in delivering this exciting and meaningful project. The successful candidate will contribute to research and programme development
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or machine learning to complex data. The successful candidate will have (or be nearing completion of) a PhD in a relevant field such as polymer science, materials engineering, or mechanical engineering
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Brain Bank and leverage on established relationships with the Geoffrey Jefferson Brain Research Centre, the Manchester Centre for Cancer Research and teams within the Division of Cancer Sciences
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Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be