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to identifying and interpreting trends in regional-to-local scale signals and extreme events. Large ensembles of climate simulations are a key tool in such applications, but the computational cost of producing
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climate change are far-reaching, particularly when it comes to identifying and interpreting trends in regional-to-local scale signals and extreme events. Large ensembles of climate simulations are a key
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engineering and science, as well as PhD education in computer technology. The Mohns Center for Innovation and Regional Development researches innovation and offers master's education in innovation and
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-listed applicants will be invited for interview. With the applicant’s permission, UiA will also conduct a reference check before appointment. Read more about the employment process. In accordance with
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and molecular phenotyping Experience with in vivo electrophysiology in rodents including device buildings, surgical procedures, freely-behaving recording procedures, signal processing and data analyses
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, freely-behaving recording procedures, signal processing and data analyses Experience with rodent development, colonies maintenance Fluent oral and written English communication skills Python, Matlab, R
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Develop and apply machine learning techniques and statistical analyses, including digital twin methodology, to fit and validate prediction model. Perform quality control and imputation of genotype and
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of molecular data in cancer genomics. The position is connected to the project “Bayesian Rank-based unsupervised Integration of multi-source Data in cancer Genomics and the digital Economy (BRIDGE)”, recently
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the porous medium appears continuous. This is accomplished by constructing a version of statistical mechanics that takes the physical processes at the pore scale as a starting point. This leads to emergent
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computer interaction, as well as media studies, audience studies, journalism, rhetorics, and media aesthetics. More about AI research at InfoMedia can be found https://www.uib.no/infomedia/ai Applicants