41 computer-science-intern-"https:"-"https:"-"https:"-"BioData" PhD research jobs in United Kingdom
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, patients, and members of the public Present as a representative of the lab at national and international scientific events Demonstrate strong mathematical and computational abilities Demonstrate excellent
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Advert This post is currently open to employees of Cardiff University only. Please do not apply if you do not have a current contract of employment with the University. Internal Applicants Only
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. Reporting to Peter Visscher. To be considered, you must hold a PhD/DPhil in statistical genetics, quantitative genetics, bioinformatics, computer science, statistics, econometrics or another relevant field
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physical properties can be developed. Applicants must have or be close to obtaining a PhD or MPhil in Computational Biology, Physics, Applied Mathematics, Computer Science, Bioengineering, Systems Biology or
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represent the research group at external seminars and conferences. To be considered, you must hold a PhD/DPhil in statistical genetics, quantitative genetics, bioinformatics, computer science, statistics
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for using data science to address real-world challenges in animal welfare and agricultural sustainability? We are seeking a Research Assistant or Associate in Data Science to join an interdisciplinary
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Applications are invited for a Postdoctoral Research Associate in ice core science to join a Leverhulme Trust funded project. The project aims to extend our record of key greenhouse gases methane
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extension possible subject to Funding. The London School of Economics and Political Science (LSE) is committed to building a diverse, equitable and truly inclusive university. We are seeking a full-time
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of the elderly to space robotics. We are now looking for a Doctoral Researcher in quantum computing and algorithms. Are you as excited about quantum technology and its future applications as we are? We are now
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) programme. The post holder will work closely with Professor Ronita Bardhan and contribute to a high-impact, interdisciplinary research programme focused on advancing evidence-based urban design for population