Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, Landsat), and machine and deep learning techniques to quantify historic dynamics of small-scale irrigated agriculture and develop an interactive irrigation mapping toolbox for government and end users
-
. We plan to use machine-learning to identify markers of listening intentions from data collected via sound recordings, photographs, ecological momentary assessments (EMA), and passively monitored
-
The Role Join our growing team to help re-architect and re-implement the University’s research virtual machine (RVM) and high-throughput computing (HTC) platforms. Beyond provisioning and
-
researchers, under the supervision of Prof David Wedge. Collectively, this team has expertise in the analysis of multilevel omic and imaging data; data integration and machine learning; risk prediction. This
-
students. The computer revolution started here in 1948 when a machine known affectionately as ‘The Baby’, ran its first stored program. The celebrated wartime codebreaker Alan Turing worked on this computer
-
The Role Join our growing team to help re-architect and re-implement the University’s research virtual machine (RVM) and high-throughput computing (HTC) platforms. Beyond provisioning and
-
are recruiting an enthusiastic and collaborative post-doctoral research associate with expertise in formal methods, machine learning, control theory, numerical analysis, or a related discipline, with a strong
-
testing, numerical modelling, and machine learning (ML) aided design approach will be adopted, utilising the respective expertise in Brazil (testing and wind tower design experience) and the UK (modelling
-
, and passively collected data such as geolocation. The model will be dynamic (updating predictions as patients record new data), and will consider statistical and machine learning algorithms. Development
-
collected histological images can serve as a cost-effective proxy for expensive spatial molecular profiling in brain tumour. The post-holder will contribute to the development of multimodal machine learning