9 parallel-and-distributed-computing-"Multiple" PhD positions at University of Plymouth in United Kingdom
Sort by
Refine Your Search
-
introduce predictable spatial structuring in bird impacts that scale up to shape ecosystem function. However, multiple climate factors are changing seabird distributions, and humans can further modify where
-
degradation will be measured. In parallel, field-based measurements will be made of protein degradation pathways, and growth/protein synthesis proxies in wild fish at times of high and low sea temperature, in
-
. This studentship addresses this critical gap by leveraging recent advancements in plankton imaging data classifiers’ translatability across multiple instruments’ output. It will apply existing biodiversity policy
-
) to investigate how coastal temperate marine invertebrate and macroalgal species respond to extreme heat events, both marine and atmospheric, across multiple biological scales. You will: Conduct single-species
-
different VME types. Build predictive spatial models for VME distribution and resilience under future climate scenarios. Training The candidate will gain skills in: Deep-sea survey techniques using remotely
-
to: build predictive spatial models for VME distribution and resilience under current and future climate scenarios; define and quantify functional traits of VME taxa; identify key functional groups, map
-
, you will need to meet the minimum English requirements for the programme, IELTS Academic score of 6.5 or equivalent. The studentships are supported for 3.5 years and include full Home or International
-
in mineralogy, geochemistry, material properties and big-picture Earth Science questions. If your first language is not English, you will need to meet the minimum English requirements for the programme
-
for the programme, IELTS Academic score of 6.5 (with no less than 5.5 in each component test area) or equivalent. Successful candidates who meet UKRI’s eligibility criteria will be awarded a fully-funded ARIES