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Field
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-doctoral Fellow will contribute to the effort of: · Analyzing environmental health effects in big data · Collaborate with our biostatistics and data science group · Writing scientific articles and research
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background processing very large data sets, applying analytical rigor and statistical methods, and driving toward actionable insights and novel solutions. Duties and Responsibilities The Post-doctoral Fellow
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genetic characteristics with in vivo MRI and clinical phenotypes. The role will involve pre-processing and curation of large neurogenomic datasets, developing an open-source platform for genomic data
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We are looking to appoint a postdoctoral researcher to join the psychiatric genomics group, led by Professor Naomi Wray, Michael Davys Professor of Neuroscience The post is based in the Big Data
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Senior Postdoctoral Researcher: statistical and computational methods for complex traits in biobanks
, using genetics theory, computer simulation studies and analysis of data from large biobanks. To be considered, you must hold a relevant PhD/Dphil in a relevant field e.g., statistical genetics
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Department: School of Mathematical Sciences Salary: PDRA salary £47,178 - £49,785 per annum. If appointed in Lieu of PhD salary start will be £36,572 per annum until PhD is awarded. (Grade 5
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expression patterns are to a large degree governed by non-transcriptional mechanisms. There will be a large degree of freedom for the candidate(s) to shape and drive the research projects forward. Start: 1
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) program.QualificationsCandidates should have recently completed or be nearing completion of a PhD in environmental data science, soil science, earth system science, ecology, remote sensing, computer science, or closely related
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, the role of the applicant must be specified) copy of PhD degree or information on when it is expected to be completed copy of doctoral thesis and other relevant publications language proficiency certificates
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of research, the postdoctoral researcher will contribute to our activities in ‘Talent in de regio’ which is a large research project together with the Hanze University of Applied Science aimed at furthering