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Job Description FACULTY OF SCIENCE DEPARTMENT OF COMPUTER SCIENCE The Department presently offers BSc, MSc, MPhil, and PhD programmes, and is now seeking outstanding applicants for the following
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researcher, with a PhD in Computer Science or a comparable domain. Ability to conduct high-quality academic research, reflected in demonstratable outputs in the security field. Motivated to teach, contribute
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 13 days ago
, the Helmholtz Association is Germany's largest scientific organisation. Where to apply E-mail personal@awi.de Website https://recruitingapp-5442.de.umantis.com/Vacancies/2160/Description/2?lang=eng Requirements
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28 Mar 2026 Job Information Organisation/Company UNIVERSITY OF EAST LONDON Research Field Chemistry Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Application Deadline 16
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expertise. In addition, programme participants acquire a certain breadth in the field as they interact with fellow students, participate in PhD training sessions and attend lecture series featuring prominent
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will strive to continually excel as an innovative world-class university that makes a positive impact on society, living up to the University’s motto: “To learn and to apply, for the benefit of mankind
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https://www.uni-graz.at Street Halbärthgasse 8 Postal Code 8010 Phone (+43) 316 380 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo
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. For the Working Group “Ecosystems in Transition” in RD1 at PIK, we are offering a PhD position (m/f/d) (Position number: 10-2026 PhD ARTECO) in the field of ecological modelling of complex arctic landscapes
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://www.jobbnorge.no/en/available-jobs/job/294536/phd-research-fellow-in-formal-methods-for-industrial-engineering Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/294536/phd-research-fellow-in-fo
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related to models and multiple sources of data describing ecological dynamics. The PhD project will address the following aims: 1) Develop efficient tools for learning about models from data, 2