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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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attachment. Main tasks Collect, compile, and analyze data to map the responses of plants and pollinators to climate change Participate in the development and adaptation of statistical models for analyzing
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sometimes). Compulsory "primer" (foundational) courses (programming, statistics, bioinformatics, biophysics) are planned as intensive courses in the period March to July. Soft skill courses (Good Scientific
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at the Faculty of Mathematics at TUD. Tasks: generation of hyper uniform patterns (point, scalar and vector fields) application of topological data analysis tools such as persistent homology and graph statistics
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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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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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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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-average university degree in psychology, human factors, or a related field good knowledge of methods and statistics, especially quantitative approaches strong interest in research good English skills