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colony administration, genotyping, confocal and large scale microscopy, molecular biology techniques (RNA preparation, single cell RNAseq library prep), large scale data analysis. The candidate will
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to develop methodologies for real-time modeling and inversion of geophysical well logs, with a particular focus on borehole electromagnetic data during drilling. This includes the further development
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electromagnetic data during drilling. This includes the further development and application of fast solvers for Maxwell’s equations and nonlinear inversion algorithms that we have already developed in a previous
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, University of Cambridge, Downing Place, Cambridge, UK . The appointed Postdoctoral Research Fellow is expected to visit and work together with the other three PIs and their team members - as well as a large
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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of excellence. The main focus will be on developing novel voice and language-based natural language processing (NLP) methods for languages with less data than ideal for the development of cognitive tests
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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context; (g) analysis of large amounts of quantitative data, data merging, data management (“big data”) A strong publication track-record and experience with publishing in international top journals
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aerodynamics. Experience in data analysis and interpretation of large datasets. Knowledge and experience from use and development of CFD codes. Risk analysis and risk assessments in the process industry. Good