372 data "https:" "https:" "https:" "https:" "Edinburgh Napier University" research jobs in Denmark
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Research Assistant in Physical Computing and Wearables at the Department of Computer Science, Aar...
research is at the cutting edge of Human-Computer Interaction (HCI), personal fabrication, and physical user interfaces. As a research assistant, you will support our research team on implementing a novel
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autocracies. CULTS aims to produce the first-ever systematic analysis of the dynamics of authoritarian personality cults and their consequences. Utilizing, among others, the latest advances in text-as-data
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different bioinformatic approaches to investigate and analyze omics data on immune response (central and peripheral) in people with Parkinson’s Disease, using both internally generated data as well as using
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research is at the cutting edge of Human-Computer Interaction (HCI), personal fabrication, and physical user interfaces. As a research assistant, you will support our research team on implementing a novel
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. Specifically, the project will combine 30 years of Danish health data at the service of hundreds of women with endometriosis, recruited through online platforms. It will use AI-enhanced methods to handle
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Job Description Are you passionate about data science and X-ray experiments? If so, this position might be perfect for you. We are seeking a data scientist to advance our analysis of complex data
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project activities. Key responsibilities include: Investigation into the GEUS sediment archive to extract information on the properties of subglacial sediments deposited by past ice streams. Analysis
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unique large-scale longitudinal data on artists and academic scholars, the project applies methods from applied econometrics and economic demography to analyze creative productivity, originality, and
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, close working relations, network activities among young scientists, and social activities a workplace characterized by professionalism, equality, and a healthy work-life balance Contact Information
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multi-layered nationwide social and health data combined with an interdisciplinary fusion of methods spanning data science, epidemiology, ethnography, econometrics, and systems science. Our research