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Applications are invited from early-career postdoctoral researchers who can demonstrate an established track record in big data analytics within the field of substance use. The two-year full time
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. Documented qualifications in data science are required. This may include systematic data collection on student learning and experiences, learning analytics, network analysis, and quantitative data analysis
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microfluidics with semi-permeable capsules, fluorescence-activated cell sorting, and long-read sequencing, into analytical workflows tailored to protists in diverse environmental samples. Improving single-cell
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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
background. Project The rapid development of Generative AI (GenAI) promises increased productivity but comes with a lack of transparency. HAIC-III offers an analytical, theoretical, and practical research
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environments. Experience with software such as R, Python, SPSS, Stata, Sawtooth, Qualtrics or similar tools will be considered an advantage. The successful candidate should have strong analytical skills, good
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discussions about research, teaching and development of the study programmes, and you approach both research and teaching tasks with an analytical and structured mindset. Who we are The Department of Materials
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analytical skills. Knowledge about statistical machine learning, robotic perception, multimodal AI algorithms. Proven experience with reinforcement learning algorithms and implementations. Experience in
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researcher with a strong quantitative profile, excellent analytical skills, and a clear interest in publishing high-quality empirical research. The successful candidate will primarily work on a randomized
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and other postdoctoral researchers as part of our Lundbeck Professorship grant, which you can learn more about here: https://www.cnap.hst.aau.dk/lundbeck-professorship As a postdoctoral researcher your