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life where mother and child live in symbiosis. This relationship however induces multiple symptoms for mothers including nausea, vomiting, bleeding, pain, fatigue and many more. Do you want to discover
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one of the following analysis techniques (multiple preferred): normative modelling, dimensionality reduction techniques, machine learning, deep-learning, state space modelling, advanced statistics
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and inclusive work environment empowering our people to fulfil their personal and professional ambitions Gender-friendly environment with multiple actions to attract, develop and retain women in science
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qualifications Masters degree in a relavent scientific field, such as biology, ecology, or natural resource management Experience conducting field work Basic statistical competence The following experiences and
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unpublished works). A publication list (if applicable). Include a brief description of your contributions if you have publications with multiple authors. A manuscript (article) derived from your master’s thesis
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to close contacts. Proposed PhD/MSc Chapters 1) Self-testing for influenza/COVID-19/RSV when symptomatic Data FluTracking Australia 2020-2025 Sample size >100,000 participants with multiple surveys/rows
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of mixtures. As a long-term goal, this work shall contribute to understanding low dose mixture effects and derive regulatory strategies to address them across multiple regulatory silos. The activities
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, this work shall contribute to understanding low dose mixture effects and derive regulatory strategies to address them across multiple regulatory silos. The activities include in detail: Structured
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patients with mood disorders, including familiarity with clinical assessments (e.g., K-SADS, SCID) Computing and software skills in multiple platforms are helpful as well as familiarity with statistical
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Vacancies Two PhD positions on Flexible and User-adaptive statistical inference Key takeaways You will develop a mathematical framework for multiple testing, enabling flexibility in study design