Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- ;
- Durham University
- KINGS COLLEGE LONDON
- AALTO UNIVERSITY
- King's College London
- University of Cambridge
- University of Glasgow
- Imperial College London
- University of London
- University of Liverpool
- Heriot Watt University
- Manchester Metropolitan University
- Nature Careers
- University of Lincoln
- ; Swansea University
- ; University of Cambridge
- ; University of Copenhagen
- ; University of Exeter
- ; University of Oxford
- ; University of Strathclyde
- Aston University
- DURHAM UNIVERSITY
- University of Birmingham
- University of Hull
- University of Newcastle
- University of West London
- 17 more »
- « less
-
Field
-
Summerfield. The post-holder will have responsibility for carrying out rigorous and impactful research into human-AI interaction and alignment, with a particular focus on studying how humans and AI systems can
-
on the molecular mechanism of DNA replication initiation in bacteria. This work is aimed at unravelling the sequence of events that lead to helicase loading during initiation and restart. This structural biology
-
of liver metastases and 2) ex-vivo MRI of human liver tissue specimens. You will be responsible for the sequence implementation, data acquisition and analysis, including biophysical models of liver tissue
-
on the molecular mechanism of DNA replication initiation in bacteria. This work is aimed at unravelling the sequence of events that lead to helicase loading during initiation and restart. This structural biology
-
, including microbiome data, transcriptome and small RNA sequencing datasets and proteomic/metabolomic datasets. The successful applicant will be joining the Veterinary Parasitology group in IIVES as a member
-
support needs of minoritised ethnic people with multiple long-term conditions, and transform how healthcare providers, communities and policymakers construct, respond to, and support them in local and
-
focusing on alignment of MMFM with ethical, legal, and social values. Specifically, the postholder will lead work to: (1) develop bias and fairness methods for domain-specific MMFM to identify and mitigate
-
, including microbiome data, transcriptome and small RNA sequencing datasets and proteomic/metabolomic datasets. The successful applicant will be joining the Veterinary Parasitology group in IIVES as a member
-
of liver metastases and 2) ex-vivo MRI of human liver tissue specimens. You will be responsible for the sequence implementation, data acquisition and analysis, including biophysical models of liver tissue
-
, including murine in vivo models, as well as in vitro studies using primary in-vivo and patient samples. You will apply flow cytometry to monitor immune responses and utilize next-generation sequencing