Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Fixed-term: The funds for this post are available for 48 months. The Project Applications are invited for a PhD student to work on machine-learning guided and verifiably correct code generation
-
aims to develop and apply the cutting edge of Bayesian analysis and machine learning to the optimisation of satellite configurations for GNSS-R. Combining the data science expertise of Dr Handley's
-
Applications are invited for a PhD student to work on developing computer architecture for quantum computers, under the supervision of Dr. Prakash Murali. Quantum computers hold immense potential
-
. The PDRA should have a relevant specialist area in data science, including managing and structuring data, programming, developing and applying theoretical methods and machine learning models for data
-
for the high throughput control of computations and analysis of results. Structure prediction will be performed using the AIRSS and EDDP (machine learning potential) packages, and prior experience in structure
-
We are seeking a highly creative and motivated Postdoctoral Research Assistant/Associate to join the Machine Learning Group in the Department of Engineering, University of Cambridge, UK. This
-
coincident with ever more demand for earth and sky monitoring. This PhD project aims to develop and apply the cutting edge of Bayesian analysis and machine learning to the optimisation of satellite
-
of interest in the group, which include: Topological materials Superconductivity Strongly correlated materials Exciton-phonon coupling Machine learning Further details about our areas of interest can be found
-
across its MPhil and PhD programmes. Suitable applicants should be able demonstrate that they are well-organised, proactive, reliable and self-motivated, using initiative to manage competing priorities
-
the use of machine learning to tackle major scientific challenges. Working across disciplines within the University, Accelerate is advancing research at the interface of AI and science, providing training