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linguistic research in the Humanities Lab in close collaboration with, and under the leadership of, professor Panos Athanasopoulos . There are currently around 15 linguistic PhDs and 6 PhD students employed
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studies and modelling. Novel techniques such as machine learning can be an alternative. To determine the fire properties, knowledge is needed of the following physical data of the mate-rial(s): mechanical
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industry to the forefront of quantum technology, and to build a Swedish quantum computer. WACQT is committed to promoting career development, diversity, and gender equality through networking and supporting
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programming languages such as R or Python Experience in the analysis of omics and high dimensional data including gene expression profiling, DNA sequencing, etc. Experience in machine learning methods and
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/sequencing), RNA-seq data, ChIP-seq data and GWAS data Machine learning experience Terms of employment This is a full-time employment limited to 2 years, with a possible extension for up to one additional year