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description You will work on cleaning data sets and conducting or reproducing statistical analysis in preparation for academic publications. You will also be responsible for visualizing results, literature
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the project will be the assessment of the model results with atmospheric measurements, as well the use of statistical inference methods for hypothesis testing. Finally the improved model will be used to provide
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and interpretation of large-scale datasets, in particular next generation sequencing (NGS) data. The team covers raw data processing, high-performance computing, statistical evaluation, interpretation
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this knowledge to understand variation in the success of assisted migration projects. Their tasks will involve collection and statistical analysis of demographic monitoring data in natural populations, setting-up
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technologies to characterize animal genomes, and apply bioinformatics and statistical genomics approaches to identify trait-associated sequence variation. We offer a PhD position at the interface
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL and engage with forestry practitioners, as well as federal and cantonal authorities. You will perform statistical analysis, present your
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As a Senior Data Scientist working in the Research team of the Swiss Data Science Center, you will use your expertise in machine learning, statistical data science, computer vision, natural
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on the following activities: Writing scripts for the automated collection and cleaning of data, and organizing it into a database Computing simple statistics Preparing graphical representations Testing surveys
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. The platform blends large language and vision models with symbolic math and statistical tools and agent-based human-in-the-loop workflow management to drive: course-specific chatbots, automatic practice-problem
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applies state of the art technologies to sequence the genomes and transcriptomes of farm animals with long and short reads, and applies bioinformatics and statistical genomics approaches to characterize