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Field
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cryosphere and is involved in various high-level research projects and centers. (See for instance http://www.mn.uio.no/geo/english/about/organisation/geohyd and https://www.mn.uio.no/geo/english/research
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susceptibility to myiasis; Design and implement computer vision workflows for analyzing imagery from drone-mounted cameras and other high-resolution imaging platforms; Apply machine learning and computer vision
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in Computational Electromagnetics will be responsible for developing theoretical models and high-performance computer codes for modelling the interaction between electromagnetic waves and dielectric
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cardiovascular conditions that disproportionately affect women and remain poorly served by existing diagnostic tools. This is a rare opportunity to join a high-impact, well-funded program doing science that
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policy engagement on China through rigorous scholarship and meaningful public outreach. More information about CSKI and the fellowship program is available at https://www.mq.edu.au/faculty-of-arts/schools
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apply machine learning and deep learning models (e.g., graph neural networks, generative models, transfer learning) for materials property prediction, interpretation, and inverse design. Perform high
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aligned with CCAE’s strategic priorities. Contribute to a collegial, ethical and high-performing research environment within the Centre. Who we are looking for/Selection Criteria: A doctoral qualification
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29 Jul 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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offer An exciting post within a high‑profile UKRI‑funded research programme Access to world‑class facilities and international collaborators Strong mentorship and career development, including training
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) for Future Distribution Networks. The position is for a period of three years. The objective of the position is to complete research training to the level of a doctoral degree. Admission to the PhD programme