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We are seeking an experienced Earth Observation and Modelling scientist who has knowledge of, and expertise in analysing Earth Observation data including Satellite Remote Sensing together with Soil
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machine learning, language modelling, computer vision, or applied AI. Familiarity with large, complex datasets and prototyping tools. Experience in successful grant writing. Why Join Us? This is a unique
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for projects examining questions in cardiovascular disease using extremely large data sets comprised of routinely-collected clinical data · Developing and maintaining requirements for access to Truveta Data and
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of Freiburg, founded in 1457, belongs to the best universities of Germany. Freiburg has a large international studen body and is located in the Black Forrest with a 30-minute drive to both Switzerland and
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involves interdisciplinary research on the development and evaluation of large language models for low-resourced langauges, primarily focusing on Danish and other Nordic languages. The research will focus
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through both academic and non-academic channels The project is multidisciplinary and in the project you will join a large team of researchers from different universities and disciplines. For this reason it
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large-scale whole genome and whole exome sequencing, RNA-seq, ATAC-seq, proteomics, and metabolomics data in a well-established cohort of childhood cancer survivors with clinically ascertained deep
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the Project HOPE 1000 pregnancy cohort, a large, longitudinal study based in Durham, North Carolina, to investigate how prenatal and early-life environmental exposures influence immune-related outcomes during
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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to Good Clinical and Laboratory Practice standards, HTA guidelines and MHRA regulations. You will use a large variety of techniques from classical and molecular microbiology and handling and analysis