10 phd-in-embedded-system PhD positions at University of East Anglia in United-States
-
Primary Supervisor - Dr Lidong Be Scientific Background One of the key challenges in volcanology is understanding changes in volcanic activities during crises, such as transitions from effusive
-
Primary Supervisor - Prof Diane Saunders Scientific background Bhutan is well-known for its extraordinarily high species richness and endemism rate. With only ~8% of Bhutan’s land being arable
-
ecosystems, seabirds are also particularly threatened by human activity. To design effective conservation strategies, it is crucial to know how seabirds connect marine sites through their movement along marine
-
. For example, the food-safe plastic PET is found throughout the terrestrial ecosystem, where it can persist for decades. Biodegradation has great potential as a cost-effective, environmentally friendly solution
-
observations and modelling of the physics and biogeochemistry of Antarctic shelf seas. You will gain experience in computer coding, statistics for environmental science, working with and piloting autonomous
-
Primary Supervisor -Prof Michal Mackiewicz Scientific background Marine litter is a key threat to the oceans health and the livelihoods. Hence, new scalable automated methods to collect and analyse
-
Primary Supervisor - Dr Stefan Bidula Scientific background Dimethylsulfoniopropionate (DMSP) is a stress molecule produced by marine organisms such as phytoplankton, algae, corals, and some plants
-
]. This PhD is about investigating whether the presence of the ABBS bacteria is directly causing prostate cancer development. Seven potential ways in which specific anaerobic bacteria could result in cancer
-
. Experience with programming languages such as Python or R for scientific data analysis is desirable. Further Information: mattwjones.co.uk/research-team-and-open-positions . Entry Requirements At least UK
-
, the race is on to understand how these DNA changes affect disease progression and post-operative recurrence risk. This PhD project uses CRISPR/Cas9 to examine risk variants in patient-derived cells and