487 systems-science-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" Postdoctoral positions in United Kingdom
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About the Role The School of Physical and Chemical Sciences (SPCS) is recruiting a Postdoctoral Research Associate (PDRA) to contribute to the project Emergent Quantum Electrodynamics in Ce-based
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independently as well as part of a team. We encourage scientists from all disease backgrounds, but with the necessary cell/molecular biology experience, to apply. It is essential that you hold a degree in
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, including clinical translation to benefit patients. The Programme is mainly hosted by the Research Department of Imaging Chemistry and Biology within the School of Biomedical Engineering & Imaging Sciences
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Full Time, Fixed Term Contract for 34 months The closing date for applications is 23.59 on 13th February 2026 By reference to the applicable SOC code for this role, sponsorship may be possible under
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Hopkins University (USA). About the role The PDRA will advance next-generation mapping methods for equitable and intelligent epidemic surveillance, contributing to the development of scalable GeoAI systems
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-fluorescence microscopy, flow cytometry and immunoblotting. CrispR cas9 is routinely used to create mammalian cell knockouts. RNAseq and proteomics-based approaches are also anticipated. Work will involve
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of this project is to understand the evolution of the membrane proteome across the tree of life. The main responsibilities will be to identify ancient gene families that encode membrane proteins and then use a
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students in the group. Candidates should have strong training in cross-disciplinary applied mathematics, with a demonstrated interest in biology, and experience in machine learning approaches is a plus. We
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THE CENTER FOR MATERIALS INNOVATION AND TECHNOLOGY (CMIT) Materials science underpins nearly every modern technology from clean energy and AI to electronics, biomedicine, defense, and space
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of doctoral students in the group. Candidates should have strong training in cross-disciplinary applied mathematics, with a demonstrated interest in biology, and experience in machine learning approaches is a