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automated feeders), and analyse microbiome composition using 16S rRNA and whole-genome sequencing. Statistical modelling will test for links between microbes and host development and fitness.� PROJECT
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-in-methodology-for-combinin… Requirements Specific Requirements A Master’s degree in epidemiology, (bio)statistics, health data science, or a related discipline; a strong foundation in quantitative
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); has experience with large-scale, complex data sets and advanced statistical methods; enjoys doing research and reporting the results in scientific articles; want to share scientific knowledge with
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, with a clear path to methodological and applied impact in healthcare. Your qualities A Master’s degree in epidemiology, (bio)statistics, health data science, or a related discipline; a strong foundation
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design; Strong analytical and computational skills for the experimental results using (spatial) statistical methods; A keen interest in performing multi-disciplinary work as part of larger research team; A
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and computational skills for the experimental results using (spatial) statistical methods; A keen interest in performing multi-disciplinary work as part of larger research team; A passion and capacity
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: Experience designing and conducting experiments and processing geological samples A theoretical background in thermodynamics, mineralogy, petrology and economic geology Statistics and coding experience A
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experiments and processing geological samples A theoretical background in thermodynamics, mineralogy, petrology and economic geology Statistics and coding experience A willingness to experiment with new data
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, Mathematics, Statistics, or Physics, or a related discipline; You’re excited about research and you are motivated to explore the areas of differential and probabilistic programming as well as programming
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covers high energy physics (elementary particle physics, quantum gravity, string theory), cosmology and gravitation, statistical physics (granular matter, chaos theory, critical phenomena) and condensed