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&PI) Theme of the NIHR Nottingham Biomedical Research Centre (NBRC), Queen’s Medical Centre, University of Nottingham. This is an exciting opportunity to join the MR&PI team led by Prof Dorothee Auer
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until 31 August 2028. Informal enquiries should be directed to Prof. Tim Minshull (tmin@soton.ac.uk ) We are proactive in fostering a culture of inclusion, respect, and equality of opportunity. We select
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Scientist Dr. Andrew Liebhold and prof. Tomáš Hlasny in the Faculty of Forestry and Wood Science, Czech University of Life Science. Position Qualifications: Previous experience working with insect invasions
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phosphorylation levels. The project is embedded in a larger international collaboration funded by the MJFF (USA), involving two PIs at UCL (UK), Prof Kirsten Harvey and Dr Claudia Manzoni, as well as several
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machine learning. Supervision will be provided by Prof. Ali Mazaheri, as well as Prof. Fang Gao Smith, and Prof. Helen McGettrick. The successful candidate will have a strong background in psychology
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Athina Spiliopoulou, Prof Paul McKeigue, and Dr Andrii Iakovliev, and with postdoctoral researchers and students in our team. They will also interact and collaborate with academic, clinical and industry
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prof m.c. schraefel directly at hrit-rf@nopain2.org Please Note: Equality, diversity and Inclusion is central to the ethos in the School of Electronics and Computer Science. The University of Southampton
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. The successful applicant will use state of the art inference algorithms to design, use and share the findings of epidemiological models that integrate across large and diverse datasets including capture-mark
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(SDR) platforms and characterise them in the presence of interference in a variety of spectrum sharing scenarios, seeking opportunities for algorithms which provide enhanced interference resilience
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Federated learning (FL) is a privacy-preserving distributed learning paradigm that allows different clients to create a shared AI models without having to share their data. Despite these advantages