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all, the traditional statistical methods are not suitable for big data due to their certain characteristics: heterogeneity, statistical biases, noise accumulations, spurious correlation, and incidental
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. You can read more about career paths at DTU here . Further information Further information may be obtained from Prof. Alexis Laurent (DTU Sustain, alau@dtu.dk ), Prof. Tine Rask Licht (DTU Food, trli
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mismatch remains a key issue for speech and language technologies. Especially for speech technology the variability of input data is large and recordings can occur in highly complex acoustic and linguistic
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regulation of transcript translation; Evaluate the level of conservation of the sRNA-mediated regulation mechanism. You will work here The work is embedded in the HMI chairgroup. You will be directly by Prof
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you like to study physiological responses of pigs fed on a large variety of by-products? Do you have the organization and communication skills to effectively work in a scientific-lab setting yet
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the breeding of complex resilience traits for several crops in different growing systems. This collaborative effort involves four universities and numerous companies. It encompasses scientific research, data
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Applications are invited for a fully-funded 42-month PhD studentship with Dr Rachel Nicks and Prof Stephen Coombes on the Leverhulme Trust-funded project White Matter Computation: Utilising Axonal
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All sea vessels, from large, manned ships transporting up to 80% of the world’s goods to small autonomous boats e.g. for search and rescue applications, require highly capable and intelligent radar
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employees). As an equal opportunity employer, the Leibniz-HKI is committed to increasing the percentage of female scientists and, therefore, especially encourages them to apply. For further information: Prof
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computational models and data analysis code to process large, multimodal behavioral datasets using both traditional methods (e.g., factor analysis) as well as more modern approaches (e.g., deep learning