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Mathematics: Statistics Position You will work actively on the preparation and defence of a PhD thesis in statistics and data science. Possible topics are causal machine learning, causal inference, robust
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trajectories. Leveraging deep learning, generative models and cross-modal autoencoders and working with both structured and unstructured data, the goal of this project is to develop a statistical framework and a
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will exhibit very low signal-to-noise ratio and extremely weak contrast, which makes this research very challenging. You will use statistics-based methods to measure unknown structure parameters
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statistical software packages such as STATA, SPSS, SAS or R, or willing to acquire such knowledge. You pay attention to details and act with attention to quality and integrity. You have a sense of independence
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issues and social questions. You have a solid background in quantitative research methods and data analysis. You have a good knowledge of statistical software packages such as STATA, SPSS, SAS or R
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statistical analysis basic processing of NGS data experience with iPSC and/or cell culturing knowledge of and some experience with genetic perturbation assays, such as CRISPR What we offer As part of the VIB
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participants, and a soundscape assessment based on data collected using a dedicated smartphone app. In your PhD research, you will not only statistically analyse these data in depth, but you will also use GIS
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sleep and audiological study of 100 participants, and a soundscape assessment based on data collected using a dedicated smartphone app. In your PhD research, you will not only statistically analyse
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interest in socioeconomic policy issues and social questions. You have a solid background in quantitative research methods and data analysis. You have a good knowledge of statistical software packages
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questions. You have a solid background in quantitative research methods and data analysis. You have a good knowledge of statistical software packages such as STATA, SPSS, SAS or R, or willing to acquire