10 natural-language-processing-phd Postdoctoral positions at Aarhus University in Denmark
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classrooms in Year 7 and 8 from dialogical, sociocultural and social semiotic perspectives. We focus on students’ observable writing processes in terms of strategies and interactions, their texts, and their
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activities of the Department and faculty. Qualifications and Specific Competences The ideal candidate has: A PhD in Computer Science, Informatics, Computer Engineering, or a related discipline Strong
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on the delivery of therapeutics to relevant metabolic organs and tissues with the aim to develop specific targeting properties for nucleic acid therapeutics. Qualifications Applicants must hold a PhD in molecular
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collaborate closely with internal and external partners to advance the project. Your profile The ideal candidate holds a PhD in biochemistry, structural biology or a related field, and has hands-on experience
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of root hair infection and root nodule development and a strong background in plant-microbe interactions is expected. Applicants must have a relevant PhD and additional experience from postdoctoral
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fellow will conduct research on Algorithmic Verification of Concurrent Systems within the Programming Languages, Logic, and Software Security Research Group at Aarhus University. The focus of the position
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expected to collaborate with the PhD students in the group. Development of instruments an software You will contribute to developing the experimental instruments, in particular the optical setup and the
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, and Sensory and Consumer Science. The Department currently employs approx. 60 full time scientific staff and 50 PhD students and Postdocs, with approx. 30 visiting staff and students contributing
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. Nature Physics20, 970 (2024)). You will also work on expanding our coherent imaging methodology to look at dynamics and phase switching in materials at the nanoscale (Johnson et al. Nature Physics19, 215
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The Department of Computer Science, Aarhus University invites applications for postdocs and PhD students. Supported by a generous ERC Advanced Grant and a Villum Investigator Grant from Villum