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As the German National Library of Science and Technology, our future-oriented services ensure the infrastructural requirements for a high-quality supply of information and literature for research in
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independent scholarship with collaborative, practice-oriented engagement. Must-have qualifications: a completed (Research) Master’s degree in Media Studies, Communication and Information Studies, Education and
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comprehensive range of variables such as temporal states and viral strains. Taken together, this will produce a body of data that can then be used to develop diagnostic biomedical applications. Please get in
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designing interventions to address them. Advanced data skills: Handling complex NHS datasets and conducting systematic evidence syntheses. Co-design methodology: Working in partnership with clinicians
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employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load from YouTube. Accept
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of information theory to syntax and language processing. Thus, the role will involve syntax, diachronic linguistics, psycholinguistics and, to some extent, computational linguistics. Under the guidance of project
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degree or equivalent within Public Health, Medicine, Data Science or other fields related to Epidemiology or Environmental Medicine. The ideal candidate has prior experience in working with health data, is
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that can support the development and implementation of robots that meaningfully support everyday work in healthcare. The successful candidate will conduct empirical research and collect data through
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with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) A high motivation and the ability to work independently with a strong team orientation Excellent spoken and
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