76 web-programmer-developer-"https:" "https:" "https:" "https:" "ESS Escola Superior de Saúde" PhD positions at Newcastle University
Sort by
Refine Your Search
-
communities at different positions along depth, latitude, and longitude gradients; challenging these networks under hypothesized future assemblage changes. Determining how coral reef fish food webs and energy
-
benefits. This exciting project, in partnership with the globally leading agrochemical company Syngenta, will develop and apply new organosodium reagents in organic synthesis. This will build upon our recent
-
related technologies could be adapted to implement N-bS. Proof of concept will be developed through laboratory and field experiments, demonstrating robotics in tasks such as planting, building, and
-
programme that will train the next-generation of doctoral carbon champions who are renowned for research excellence and interdisciplinary systemic thinking for Net Zero. The ReNU+ vision is that they will
-
project costs will also be provided. Overview In vitro models of cardiac tissue are synthetic tissues produced in the lab which allow for the development of organs and the treatment of diseases to be
-
Award Summary This studentship provides a tax-free annual living allowance of £25,726 plus a research training support grant of £20,000 and 100% fees paid. Overview This PhD project aims to develop
-
of £25,726 plus a research training support grant of £20,000 and 100% fees paid. Overview This PhD project aims to develop a computationally efficient framework for the real-time prediction of river water
-
that will train the next-generation of doctoral carbon champions who are renowned for research excellence and interdisciplinary systemic thinking for Net Zero. The ReNU+ vision is that they will become
-
, soil evolution, and biodiversity. Using these insights, you will develop a classification system and decision-support framework to guide practitioners in selecting plants and designing rain gardens
-
will also be provided. Overview This project will develop an adaptable Machine Learning (ML) hardware architecture to solve Artificial Intelligence (AI) classification tasks using Internet of Things (IoT