Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- ; University of East Anglia
- University of Cambridge
- ; University of Birmingham
- ; University of Plymouth
- ; Oxford Brookes University
- ; The University of Manchester
- ; University of Exeter
- ; University of Reading
- ; University of Southampton
- ; University of Sussex
- University of Birmingham
- University of Newcastle
- 3 more »
- « less
-
Field
-
Nanopore sequencing, ChIP-seq, and Hi-C, to probe plant genomes and centromeres. The project will involve both wet-lab based functional genomics approaches, together with dry-lab based bioinformatics
-
Nanopore sequencing, ChIP-seq, and Hi-C, to probe plant genomes and centromeres. The project will involve both wet-lab based functional genomics approaches, together with dry-lab based bioinformatics
-
bioinformatic tools and focused on clear interpretation and communication of this data. This project is part of an exciting new Doctoral Training Programme in Microbial Genomics for Health Protection in
-
impacted by sewage release and is associated with significant flooding events. The student will combine experimental methods with metagenomics and bioinformatics to profile the threats associated with
-
sequencing (NGS), and bioinformatics analysis is highly desirable. You will join a multidisciplinary team of approximately 15 experienced chemists, chemical biologists, and molecular/cell biologists based in
-
Science, Bioinformatics, Epidemiology, or a closely-related area, or else a lower second-class degree followed by a relevant Master's degree. They must have a strong background in mathematical modelling and an interest in
-
Main Information: The University of Exeter’s Department of Biosciences is inviting applications for a PhD studentship funded by CEFAS and the Faculty of Health and Life Sciences to commence on 22
-
, PhD students, clinicians and computer scientists who will all support the studentship. The successful student will be further supported by members of the wider 4th floor research groups and existing
-
the earliest signals of carcinogenic risk. This PhD project aims to transform how we evaluate the potential for new drugs and chemicals to cause cancer, by tracking somatic mutations and clonal expansions in
-
V236E (ε3), which reduce the risk of AD by 2–3 times. This project will use bioinformatics and big data and induced pluripotent stem cell (iPSC) models —cells generated in the lab that can mimic brain