Sort by
Refine Your Search
-
Category
-
Employer
- Newcastle University
- University of Cambridge;
- University of Exeter
- University of East Anglia
- University of Nottingham
- University of Surrey
- Biology Centre CAS
- Imperial College London;
- King's College London
- University of Birmingham
- University of Cambridge
- University of Dundee;
- University of Plymouth;
- 3 more »
- « less
-
Field
-
, bioinformatic, and translational approaches, this PhD will equip you with a versatile skill set relevant to academic, clinical, and industry careers in immunology and physiological research. The project is in
-
public health teams prepare for and respond to outbreaks and work with experts in microbiology, data science, and public health, gaining skills in statistical modelling and bioinformatics. Number Of Awards
-
for bioinformatics and genome biology. The student will have access to training and career development opportunities at the Earlham Institute and on the Norwich Research Park as part of the Norwich Biosciences
-
. This project is primarily computational and offers comprehensive interdisciplinary training in plant genomics, bioinformatics, and statistical modelling, as well as practical skills in horticulture, experimental
-
and related neurodegenerative disorders. Candidates with backgrounds in bioinformatics, computational biology, human genetics, statistical genetics, cancer genomics, multi-omics, or related areas
-
. Candidates with backgrounds in molecular biology, genomics, neuroscience, functional genomics, bioinformatics or related areas are encouraged to apply, particularly where they have experience working across
-
implemented in a real breeding context. Apply advanced genetic and bioinformatic tools to build a predictive model of how environmental conditions, in the context of climate change, affect yield and yield
-
efficiency. You will be embedded within a multidisciplinary team of experts in artificial intelligence, bioinformatics, laboratory automation and synthetic biology. While the wider team develops AI-driven