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the association between life course transitions and spatial mobility in migrant populations at the individual and household levels. In keeping with individual-based modelling in biostatistics, hazard models of
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Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu Seeland, Brandenburg | Germany | 9 days ago
have hands-on experience in crop genomics and managing genotyping data. You bring first experience with biostatistics methods, e.g. with mixed-models. You are familiar with data analysis using
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satisfactory performance. Applicants should have a Ph.D. degree in pharmacy, public health, epidemiology, biostatistics or other related disciplines, with post-doctoral research experience. Applicants with both
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which there exists extensive experience in the areas of machine learning, biostatistics, and medicine: Dr Yanda Meng and Dr Tianjin Huang (Machine Learning), Prof Yalin Zheng (AI in Healthcare), A/Prof
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Department: Faculty of Medicine and Health Sciences Regime Full-time Are you passionate about Biostatistics and Data Science to support real-world problems? Do you want to contribute to early
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Department: Faculty of Medicine and Health Sciences Regime Full-time Are you passionate about Biostatistics to support real-world problems? Do you have a broad interest in health policy analyses
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the demographic profiles and contact networks of the individual simulation model will be drawn from Virtual WA: a geospatial analysis platform built in-house by A/Prof Cameron and Camilo Vargas at The Kids. Student
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be considered for a scholarship please apply to the relevant scholarship round. Supervisor: A/Prof David Boettiger Available to: Domestic and International students Either PhD or MPhil Eligibility
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data. You bring first experience with biostatistics methods, e.g. with mixed-models. You are familiar with data analysis using programming languages like R, and/or Python. You have excellent
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Regular Job Code 9742R5 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Required Qualifications: * Ph.D. or Masters with equivalent experience in Computational