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economics, health policy, health data analytics. Applicants from other disciplines (e.g., public health, epidemiology, biostatistics) with strong quantitative skills or a willingness to develop them
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PhD in the epidemiology field Eligibility criteria Undergraduate degree with Honours or Masters in Science with units in mathematics and/or biostatistics Demonstrated coding experience: either
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Curtin University Background in genetics, bioinformatics, epidemiology, biostatistics, or related fields Demonstrated computational skills and experience with genomic or health data analysis Commitment
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applicants will have postgraduate qualifications in epidemiology, biostatistics, public health, or another similar field. They must also meet the English language proficiency requirements as described in
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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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: Dr David Boettiger Available to: Domestic and International students Either PhD or MPhil Eligibility Criteria Ideal applicants will have postgraduate qualifications in epidemiology, biostatistics
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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