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colleague? Apply now! Education • PhD in Computer Science, Telecommunications, or a closely related field. • Solid knowledge of mobile networks and 5G systems, with practical understanding of RAN optimization
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histology or imaging techniques. ⦁ Familiarity with R or other statistical tools for data analysis. The postdoctoral researcher and PhD-student positions are initially limited to 2 and 4 years
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 1 month ago
technology. The postdoctoral researcher will also contribute to the development and validation of identified biomarkers and help assess their potential for CVD risk assessment using statistical analysis. As a
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applications, for example in machine learning and mathematical statistics Participation in the scientific activities of the department, e.g. seminars, workshops and schools organised by the members
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Science including quantitative and qualitative consumer research methodologies, and experience in designing consumer studies in and out-side Denmark. Solid experience in statistical analysis are preferred
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of Chemistry, and the group of Prof. Hobolth at the Department of Mathematics. A second postdoc with expertise in stochastic processes and statistical methods will be part of the project and you are expected
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information for three references to: Vladimir S. Spiegelman, MD, PhD E-mail: vspiegelman@pennstatehelth.psu.edu BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful completion
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recording. Actively engaging and working closely with our multidisciplinary team of PhD students and postdocs to support them with their own analyses and perform analyses for their projects. Performing
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but also in a team you hold a PhD in life sciences (e.g. molecular biology, biochemistry, genomics, computational biology or related areas) you have experience in NGS-based assays and NGS data analysis
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biobanks such as the UK Biobank and AllOfUs. The ideal candidate should hold an MD or PhD, and have a strong background in human genetics and/or statistics, including knowledge of genomewide methods, such as