-
bio-optical (fluorescence and backscatter) data from a 2025 research expedition to the Bellingshausen Sea, West Antarctica, coupled with data from laboratory analyses of algal pigments, particulate and
-
relatives and made our ancestors take over the world? This fundamental question remains unsolved. We can now tackle this from a new angle, leveraging the unprecedented genetic data available in biobank-scale
-
data are needed to enhance our understanding of sources, pathways and impact of litter. Cefas is developing a visible light (VL) deep learning (DL) algorithm and collected a large 89 litter category
-
, are crucial for modelling volcanic processes and are vital for understanding the transitions. Geophysical monitoring provides essential information to constrain these parameters and inform decision
-
-Aberystwyth. You will generate and analyse RNA-seq and DNA methylation data to measure homoeolog-specific expression, identify non-additive expression patterns, and examine epigenetic and structural signatures
-
Butt (j.butt@uea.ac.uk ) for further information. The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering fully funded studentships for October 2026 entry. The programme
-
their anticancer and neuroprotective activities in human cell-based assays. Generate SAR data linking specific enzymatic modifications to pharmacological properties. This PhD project offers extensive research
-
to answer these questions and pursue new research directions. You will have access to rich data with matched blood samples from hundreds of individuals, and carry out additional fieldwork to update datasets
-
. Describe site connectivity along global flyways, using a global dataset of important areas for seabirds (i.e., Key Biodiversity Areas) and data from the STD. Investigate the drivers of flyway connectivity
-
on the topic (2,4). Training and Development Training will maximise future employability in academia and industry: Programming and geospatial data analysis using Python/R. Machine/deep learning techniques