Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Computer Science
- Engineering
- Biology
- Medical Sciences
- Economics
- Materials Science
- Chemistry
- Mathematics
- Electrical Engineering
- Science
- Arts and Literature
- Business
- Psychology
- Humanities
- Linguistics
- Physics
- Education
- Philosophy
- Law
- Earth Sciences
- Environment
- Social Sciences
- Sports and Recreation
- 13 more »
- « less
-
Photoevaporation of discs around binary stars, by binary stars.
-
New anticancer therapies based on transition metal complexes
-
for high-volume aerospace structures”, a collaborative project between the School of Mechanical, Aerospace and Civil Engineering, the AMRC and GKN Aerospace. The ideal candidate would have proven
-
for a researcher with a strong background in qualitative methodologies and implementation science and the ability to work independently and within a team, to collect data, analyse and report data
-
Autonomous Scalable Knowledge Extraction and Decision Making for Complex Systems and Dynamic Environments School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof
-
understating of the fundamental process of organellar replication, insights gained from this work will aid downstream translational projects of chloroplast engineering to develop crops with better traits
-
temporal variations in microclimatic variables, soil moisture and ET. The work will be hosted by the School of Mechanical, Aerospace, and Civil Engineering, in collaboration with the School of Biosciences
-
or equivalent experience in air quality, aerosol science, indoor environments, or similar. Essential Application and interview Experience of field or experimental work, ideally (but not necessarily) in the field
-
Why are rhizobial symbiosis genes mobile? School of Biosciences PhD Research Project Self Funded Dr Ellie Harrison Application Deadline: Applications accepted all year round Details Rhizobia are nitrogen fixing symbionts of legumes. They are defined by their ability to establish intracellular...
-
Machine Learning Methods for Enhancing Autonomy of Unmanned Aerial Vehicles in Wildfire Detection and Localisation