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institutional initiatives such as DAISI. Dr. Song Xiaoyu’s laboratory is seeking a highly motivated Research Fellow with expertise in computer science, biostatistics, statistics, bioinformatics, computational
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portal are used for anonymized statistics that all state employers include s in their annual reports. More information about equality and inclusion measures at UiO can be found here. General information
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that provide preparation for graduate school or other industry research positions, such as analyzing data, developing statistical models, creating presentations, and editing research papers. In
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and ethical guidelines. About you Successful applicants will have: a PhD (or near completion) in computer science, statistics, engineering, or a physical, environmental or life science discipline
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. Performs multivariate biostatistical analysis to support study outcomes. Participates in didactic continuing education. Engages in cardiovascular core curriculum and statistical methodology training. Writes
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). The selections made in the job application portal are used for anonymized statistics that all state employers include in their annual reports. More information about gender equality initiatives at UiO can be found
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engagement metrics, and statistical analysis Collaborate with interdisciplinary research teams including behavioural scientists, software developers, clinicians, public health experts, and national health
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characterization. Proficiency in analysis software (e.g., Microsoft Excel, R, or other statistical software). Excellent written and verbal communication skills. Ability to work independently and as part of a team
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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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statistical and machine learning approaches • Apply AI/ML methods to improve disease risk stratification • Prepare research reports, conference presentations, and manuscripts for publication in peer-reviewed