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: Required qualifications: Experience with data analysis and familiarity with statistical software (e.g., R, Stata) The applicant must be fluent in oral and written English, see documentation requirements
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epidemiology, causal inference, genetic epidemiology, and machine learning. As a PhD candidate in the project, you will: Actively participate in group meetings, design statistical analysis plans in collaboration
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interest in clinical research, neurodevelopment, and women’s and children’s health. The ideal candidate will have: Required qualifications: Experience with data analysis and familiarity with statistical
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finally evaluated, and the degree not yet awarded at the time of application, a written statement from the supervisor is required confirming that the thesis has been submitted. Practical experience in cell
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possess a Master`s degree or an equivalent in Biochemistry, Biotechnology, Biology or Chemistry. Hands-on experiences in cell biology, molecular biology including mammalian cell culture and protein
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, this can be expanded in one of several directions, including psychological experiments on risk assessment & decision-making under uncertainty transmission-chain studies on how knowledge, attitudes, and
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are: • Identifying and understanding housing, air quality, and respiratory health issues in each case study. • Linking climate change models to housing, air quality, and respiratory health outcomes. • Designing
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, air quality, and respiratory health outcomes. • Designing a grassroots scenario-planning process. • Exploring and analyzing housing and health issues under climate scenarios through interactive