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. This role offers a rare opportunity to contribute to cancer interception science at the frontier of personalised prevention, with strong translational potential. We are seeking a talented and motivated
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position from 01.10.2025 of a Postdoc Position at the Research Group Data Mining and Machine Learning at the Faculty of Computer Science, University of Vienna under the supervision of Prof. Claudia Plant
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scientific breakthroughs. The successful candidate will lead research on ERC PoC project PepVerse within Prof. Knowles' research group at the Yusuf Hamied Department of Chemistry at the University of Cambridge
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in global health, and health and social care. Further information about the Faculty of Life Sciences and Medicine may be found at https://www.kcl.ac.uk/lsm/index.aspx Within FoLSM, the School
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women's health. We also have thriving research programmes in global health, and health and social care. Further information about the Faculty of Life Sciences and Medicine may be found at https
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50 Faculty of Life Sciences Startdate: 18.08.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 17.08.2029 Reference no.: 4247 Explore and teach
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The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity
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representation, knowledge engineering, linked data. About the role The successful candidate will join the Distributed AI (DAI) group in the Department of Informatics, King’s College London. They will carry out
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quantitative analysis of key descriptive characteristics to identify whether male politicians are as diverse as their female counterparts. You will then analyse this data on descriptive representation against a
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at the intersection of these research areas. You should hold, or be close to completing, a PhD/DPhil in mathematics, statistics, physics, engineering, data science, or a related field. Experience in cancer