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Post Doctoral Researcher in Human-Centered AI for Software Engineering, Department of Electrical ...
Denmark”. You will be part of a team of researchers from leading Danish universities and practitioners from software companies in Denmark and Sweden jointly collaborating to advance the adoption
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efficacy through laboratory analysis of pig-derived samples, using immunological and cell culture-based assays. The project involves collaboration with The Department of Cancer and Inflammation at SDU, where
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combines neuroscientific, musicological and psychological research in music perception, action, emotion and learning with the potential to test prominent theories of brain function and to influence the way
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: www.jura.ku.dk . The Faculty actively supports efforts to learn Danish. Qualification requirements Employment as a Postdoc requires academic qualifications at PhD level. More information on careers at UCPH and the
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transparent documentation practices—laying the foundation for reproducible and collaborative research in biofertilizer innovation. The IBIS development pipeline is designed to enable high-throughput
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analysis Close collaboration with an interdisciplinary team. Research and teaching efforts at a section and departmental level as appropriate and relevant (e.g., teach and supervise MSc and PhD student
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recognised track records. CNAP participates in numerous international initiatives and maintains an extensive global network, making it an ideal environment to build your own collaborative connections. CNAP is
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to collaborate closely with our Danish industrial partners on innovative use cases, including advanced condition-based monitoring in industrial settings and speech enhancement in audio headsets. The appointed
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A postdoc position in the Torben Heick Jensen lab, Aarhus University, Denmark: Mammalian Nuclear ...
to molecular biology and bioinformatics approaches. Collaboration with structural biologists is possible. Your profile Applicants should hold a PhD in Molecular Biology, Biochemistry, Cell Biology, Genomics
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with machine learning, specifically deep learning (Transformers, RNNs, CNNs, etc.), and XAI techniques. Experience with collaborative, cross-cultural research environments. Who we are At the Department