Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
position within a Research Infrastructure? No Offer Description Department of Soil and Environment You will be part of a research team working in different projects related to agricultural water management
-
the center. Together you will pursue different applications and explore different AI methodologies. The PhD candidate will be supervised by Professor Edmund Førland Brekke. About the project About the
-
) for statistical analysis and data visualization. Offer The chance to drive high-impact research focused on addressing fundamental, mechanistic questions in Autophagy and cellular homeostasis research. Integration
-
efficient use of soil water and drought stress resilience. The studies in the project will include different crops, mainly winter wheat and perennial ryegrass. The project will work in two main directions: 1
-
and collaborative partnerships. They will receive interdisciplinary training across microbiology, statistics, as well as working with policy stakeholders to translate research into real-world
-
, theories, and methods related to the involvement of thalamocortical networks in language and memory, as well as in behavioral and MRI methods, and statistics. Also, s/he will have the opportunity to actively
-
, companies and governmental agencies in the center. Together you will pursue different applications and explore different AI methodologies. The PhD candidate will be supervised by Professor Edmund Førland
-
resources for the mitigation of land degradation. Methodology The project will encompass two principle tasks: (1) Landscape-farm scale survey to examine how different land management scenarios impact soil
-
. Financial Support This studentship includes a bursary to cover the home fees rate, plus an annual allowance of £20,780. Overseas applicants may apply for this studentship but will need to pay the difference
-
be applied to real-life situations through: two rotation projects - both allied with but in different disciplinary areas related to the PhD project. three taught units - training in Statistics