Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
based On New Theory, observations and Experiments) project and will be part of a team of scientists developing and testing a theoretical basis for modelling vegetation based on eco-evolutionary optimality
-
Applications are invited for a Postdoctoral Research Associate in the Department of Computer Science with a particular emphasis on the design and performance analysis of resource allocation
-
The Role Applications are invited for a Postdoctoral Research Associate in the Department of Computer Science with a particular emphasis on the design and performance analysis of resource allocation
-
reactors and the study of sonochemical reaction engineering. We excel at controlled experiments aimed at determining the driving forces for optimally efficient sonochemistry across different reactor scales
-
23 Jan 2026 Job Information Organisation/Company DURHAM UNIVERSITY Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application Deadline 11
-
manufacturing. AI methods will then be applied to this large database to inform optimal processing parameters that will produce components with reliable material properties. The process will be validated in a
-
polymers, using additive manufacturing. AI methods will then be applied to this large database to inform optimal processing parameters that will produce components with reliable material properties
-
development towards optimizing and understanding sonochemical nitrogen fixation to help advance our internationally leading programme of research. This work will also contribute towards building a case for a
-
development towards optimizing and understanding sonochemical nitrogen fixation to help advance our internationally leading programme of research. This work will also contribute towards building a case for a
-
computational prediction, mapping, and functional characterisation of promoter sequences. Demonstrated expertise in measuring plant photosynthesis and performing plant growth assays under both optimal and abiotic