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for translatome analysis Expertise in integrating large-scale multiomic datasets, including machine learning based approaches Excellent written communication skills demonstrated by an outstanding publication track
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Engineering, who have received recently a PhD degree or passed a viva. Expertise in finite element analysis (especially ANSYS), the skills allowing to create Python-ANSYS interfaces and using machine-learning
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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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Christmas closure Ride to work and EV car scheme available For more information, please see University of Manchester Benefits . You can also find information on our Flexible and Hybrid working here . We
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information-security approvals required by the programme, and engage with internal University stakeholders (IT, HR, Teaching & Learning, faculties) and external partners. We welcome candidates who bring diverse
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. Experience with statistical modelling, signal processing, or machine learning. Interest in active perception, surface exploration, and computational neuroscience. Eligibility criteria Applicants must satisfy
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Evidence of research achievement at the very highest international level, including a strong record of publications in top-tier venues in AI/machine learning and evidence of significant influence
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denoising, cell segmentation and the analysis of cellular neighbourhoods and cell–cell interactions. Experience in developing artificial intelligence and machine-learning methodologies for multimodal data
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an interview. Further details will be provided to shortlisted candidates. For informal enquiries, please contact Professor Garry Tew at [email protected] . To learn more about the Institute for Health and Care
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will publish your work at major music technology and human-computer interaction conferences and journals. The successful candidate will be based in School of Computing and Creative Technologies