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Engineering and Data Science, to work in School of Medicine, University of Nottingham. The role is funded as part of the Biomedical Research Centre Nottingham Program. The overall aim of the project is to
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package that will be using data science and health informatics to make the datasets within the program findable, discoverable accessible, interoperable (FAIR). The project will involve understanding
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This role will be based in the Department of Chemistry within the School of Natural & Computing Science. ** The position is associated with a research project funded by the Engineering and Physical
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Natural & Computing Sciences Duration of Post Funding/Activity Limited The successful candidate will join the group of Dr Francisco Perez-Reche at the Institute for Complex Systems and Mathematical biology
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and analysis that could support our expanding PET research programme. You will have the opportunity to join the “PET is Wonderful” team working at the University of Edinburgh to develop new PET imaging
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on increasing the flexibility of local energy communities. Applicants are required to possess a degree in electrical engineering, computer engineering, or mechanical engineering, applied mathematics, economics
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relevant quantitative discipline (e.g. Bioinformatics, Computer science, Genetics/Genomics, Computational Biology or Data science). Experience programming in a high-level scripting language (R or Python
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Obesity and type 2 diabetes are among the global health care challenges of the 21st century. The University of Aberdeen has a 100-year history of ground-breaking science in nutrition and health
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very novel area of research. Candidates are expected to hold a PhD in Mechanical Engineering, Applied Mathematics or a related discipline, ideally in a field relating to computational PDE techniques
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. Strong interest in chromatin biology and/or gene regulation is crucial whilst previous experience in molecular biology, genome-engineering and 3C/Hi-C techniques are desirable. The Opportunity