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22 Aug 2026 Job Information Organisation/Company UNIVERSITY OF SYDNEY Research Field Computer science Engineering Engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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Deadline 13 Nov 2026 - 14:00 (UTC) Country Finland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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. Additionally, we intend to measure root water uptake using sap flow meters. The data will be integrated using recently developed physics-informed neural networks in order to translate apparent resistivity data
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Postdoc Positions Application Deadline 23 Sep 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Part-time Is the job funded through the EU Research Framework Programme? Not
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 13 days ago
collaboration agreement between ANU and the ACT Government addressing wellbeing in the ACT. This program of research is broadly focused on enabling evidence-based policy decision-making in the ACT, particularly
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networks, high-performance computing clusters, and clinical interdisciplinary collaborations across UT Austin. The applicants will join a collaborative research environment at the Translational AI Excellence
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information please visit: https://www.brunel.ac.uk/about/our-history/home College / Directorate College of Engineering, Design & Physical Sciences Department Department of Computer Science Full Time / Part
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. This is an exciting opportunity to contribute to cutting-edge biometric research at the intersection of computer science and digital identity technologies. Funded by the United Nation Safe Online scheme
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internal funds Access to shared research facilities and high-performance computing Protected time and programmatic opportunities for professional development, skill development, and networking with a
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(ML). This position offers an exciting opportunity to develop and apply cutting-edge computational approaches to large-scale biomedical datasets, with a focus on advancing precision medicine in cancer