Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
fungal pathogens from the WHOs fungal priority pathogen list. In the second part of the PhD, you will build scalable, user-friendly bioinformatics pipelines for rapid genome analysis, tested using samples
-
at the intersection of machine learning, bioinformatics, and computational pathology. Project Overview: Integrating histopathological imaging with omics (e.g., transcriptomics, genomics, proteomics) holds tremendous
-
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
-
epidemiology, microbial genomics bioinformatics (coding skills) to assess measles evolution and diversity and implement your findings directly into WHO public health infrastructure (MEaNS database) to be used by
-
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
-
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
-
leveraging cutting-edge genomic technologies and bioinformatic tools, this project will compare the systemic responses to sea lice across resistant and susceptible salmonid species and populations
-
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
-
. Whilst full training will be given, previous experience with tissue culture, analysis of genomics data, bioinformatics approaches or previous use of relevant platforms such as R, are desirable