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profiling methods for C. elegans and further optimize them to apply to the early embryo. With this approach, you will generate a genome-wide overview of translational regulation during development. In
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. You will build on our recently developed single-cell ribosome profiling methods for C. elegans and further optimize them to apply to the early embryo. With this approach, you will generate a genome-wide
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University, you will develop innovative methods to make geographic data smarter and more question-aware, contributing directly to the future of spatial reasoning and sustainability. Your job Answering
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University, you will build models and methods to parse natural language questions into geo-analytical workflows, combining NLP and semantic representations to improve how complex spatial questions can be
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willingness to experiment with new data collection methods A flair for written, graphical and oral communication. And above all, creativity and curiosity Due to the international character of our research, good
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collection methods A flair for written, graphical and oral communication. And above all, creativity and curiosity Due to the international character of our research, good command of spoken and written English
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involve: developing new differential and probabilistic programming techniques (e.g., techniques for differentiating effectful programs such as gradient estimation of probabilistic programs, implicit
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techniques (e.g., techniques for differentiating effectful programs such as gradient estimation of probabilistic programs, implicit function differentiation, compositional Bayesian inference techniques