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-tracing methodologies to analyze how business actors attempt to influence policymaking and public opinion. Gather and analyze archival data, media sources, policy documents, and corporate reports
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highly motivated, determined, innovative, and collaborative postdoc to lead the research project outlined above. You have: A PhD in life science, e.g., molecular biology or biochemistry. Expertise in e.g
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at PhD level, for example within the following area: Cancer immunology, drug delivery. Experience with in vitro and in vivo experiments, flow cytometry, and RNAseq is required. As a person, you have good
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phenological data using camera and drone-based imagery. Use genetic analyses to assess the relationship between genetic differentiation and phenological variation. Develop and implement advanced statistical
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successful candidate will have previous experience in computer science or data science, with a PhD and publications in at least one of the following areas: Formal modelling and verification of business
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to: Collect data through e.g. literature studies regarding the raw materials to be used Perform data analysis and interpret results from chemical and microbial analysis of the raw materials Carry out product
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project. Your profile We are looking for a highly motivated candidate with a background in machine/deep learning, and communication networks. The required qualifications include: PhD in computer engineering
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July 2026 and in other dissemination activities. Qualifications Applicants must have a PhD degree or must document equivalent qualifications in a relevant field related to Old Norse studies, for instance
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encompasses a range of research areas in software development, data analytics, and intelligent systems, and it plays a key role in several ongoing European projects. Our workplace is truly international and
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university deep tech startups, carry out independent, high-quality research leveraging this data, and engage with stakeholders in the Danish and international deep tech arena. Responsibilities and