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Field
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synergy with its strategic partners, and provide training on causal inference to the next generation of investigators. For more information on CAUSALab, please visit: https://causalab.sph.harvard.edu
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are interested in adding a Research Fellow to our team with experience and skills in conducting surveys, data linkage, statistical analysis and report writing. The role of the Research Fellow will be to support
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assimilation, machine learning, and seasonal weather forecasts. As a Postdoctoral Research Fellow, you will play a crucial role in developing and testing statistical models for the accurate forecasting
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of the Multi-Ethnic Cohort (MEC1, MEC2 and MEC3), Diabetic Cohort (DC), Singapore Health Studies (SH2012 and SH2), and the Community Health Study (CHS). (https://blog.nus.edu.sg/sphs/) We are inviting a
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published in leading journals including Nature Mental Health, Molecular Psychiatry, and PNAS. (https://www.ncbi.nlm.nih.gov/myncbi/paola.magioncalda.1/bibliography/public/ ) The successful candidate will play
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statistics that all state employers include in their annual reports. More information about gender equality initiatives at UiO can be found here. We hope you will apply for the position with us. We offer
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written communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations
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computational, statistical, and AI/ML approaches to uncover biological insights and support functional discovery by analyzing multi-omics datasets eg. genomics, transcriptomics, proteomics, metabolomics, and
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and cell differentiation. We develop technologies to generate statistical data sets that make these problems tractable, as well as computational tools and laws governing biological system behavior. We
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analyzing hyperspectral data and developing machine learning models - Genetic or molecular lab experience - Bioinformatics, or statistical genetics experience - Excellent written and oral communication skills