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project needs and providing valuable experience to a skilled researcher. The successful applicant will have a PhD specialized in runology or related subjects (Old Norse philology, language history
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, professionals, service user and policy makers. The successful candidate will pursue their own doctoral research project leading to a PhD within a collaborative research environment. We seek applicants with a
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Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | 18 days ago
Mathematics » Applied mathematics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Germany Application Deadline 30 Sep 2025 - 23:59 (Europe/Berlin) Type of Contract Temporary Job
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considered. Qualifications/Skills PhD degree in a programme relevant to human-computer interaction and/or critical computing, ideally in Computer Science, Industrial Engineering, Interaction Design, or a
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about ). About you You must have a social science background (MSc/PhD) and experience/interest in environmental sustainability research and interdisciplinary working. Good communication and organisation
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. Knowledge of user research principles A6. Knowledge of stakeholder mapping For Appointment to Grade 7 A7 Normally Scottish Credit and Qualification Framework level 12 (PhD) plus track record of emerging
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16 Sep 2025 Job Information Organisation/Company Brno University of Technology Research Field Computer science » Computer systems Researcher Profile Recognised Researcher (R2) Positions PhD
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and Composites, and Sustainable Materials. With some 100 researchers and PhD students and several national and international partners, MSN is emerging as a strong actor in the Moroccan materials
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. The position is available up until the end of 2025. Where a PhD has yet to be awarded the appointment will initially be made at Research Assistant level (Grade 5) and amended to Research Associate (Grade 7) upon
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& robust control, and learning for dynamics & control. The main task of the PhD student will be to develop sound data-driven methodologies for learning control policies with provable guarantees