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variability in risk factor susceptibility, treatment response, disease pathogenesis, and clinical diagnosis (biostatistics, machine/deep learning), ii) Investigating causal processes and disease mechanisms
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and functional T cell assays. The PhD candidate: The preferred PhD candidate will have completed an Honours or Masters degree in immunology, microbiology, bioinformatics, biostatistics or a related
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must hold a master’s degree in psychology, neuroscience, biostatistics, or a related field (before starting the PhD). The candidate must be qualified for admission to the ph.d. program Strong background
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& Jordan / UiO via Unsplash Jarli & Jordan / UiO Qualifications Qualification requirements Applicants must hold a master’s degree in psychology, neuroscience, biostatistics, or a related field (before
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, biostatistics, and genetics. Essential: Master’s in medicine, biomedical sciences, bioinformatics/biostatistics, related disciplines or equivalent through experience. Comfortable in contact with patients/families
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, bioinformatics, biostatistics or a related discipline. References: 1- Wilson AL et al. Cancers 11 (2018) pii: E32 2- Kampan NC et al. Front Immunol. 8 (2017): 1482 3- Daillère R et al
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, biostatistics or a related discipline. References: [1] Flanagan KL et al. Annu Rev Cell Dev Biol (2017) 33:577. [2] Meyrel M et al. Encephale (2018) 44(1): 67-74. Co-supervised by Dr Kirsty Wilson and Professor
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candidate will have done an Honours or Masters in either immunology, or vaccines, microbiology, bioinformatics, biostatistics or a related discipline. References: [1]. Chiu CY et al. Nat Rev Gen. 20 (2019
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, vaccines, microbiology, bioinformatics, biostatistics, molecular biology or a related discipline. References: [1]. Flanagan KL et al. Annu Rev Cell Dev Biol. (2017) 33:577 [2]. Noho-Konteh F et al. Clin
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institutions in the fields of biostatistics, epidemiology, meta-research, population health science, public health, and medical informatics. The scientific coursework serves to deepen methodological knowledge