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collaborative links thorough our collaborative network. The researcher should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely related field. You have an
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work will involve sophisticated bioinformatic analyses, including the application of machine learning techniques, to predict taxonomic, antibiotic resistance profiles and phenotypes from 'omic data. Your
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, develop ideas for generating research income, collaborate on reports and journal articles, and have the opportunity to teach. Please direct enquiries to Prof Kapanidis Achillefs.Kapanidis@physics.ox.ac.uk
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an interdisciplinary group. You will manage academic and administrative activities, develop ideas for generating research income, collaborate on reports and journal articles, and have the opportunity to teach. Only
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have: Experience with AI and machine learning for medical images Experience working with data from multiple hospitals An interest in rare disease research. Additional information Informal enquiries
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learn new methods and skills and have excellent communication skills. See the job description for the full list of selection criteria. Informal enquiries should be directed to Dr Jani R Bolla (jani.bolla
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50 Faculty of Life Sciences Startdate: 01.11.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 30.06.2029 Reference no.: 4637 Explore and teach
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the way they orchestrate multiple voices and create coherence in texts – all of which are pivotal for literacy learning. Besides much-needed empirical insights, we expect to enrich the theoretical concepts
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Programming skills Good at interacting with people, communicating, and working as part of an international team Self-organised, able to conduct independent learning Presentation skills (evidence of
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are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models using multimodal data including neuroimaging