Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Aston University
- Ellison Institute of Technology
- Durham University
- Earlham Institute
- Francis Crick Institute
- King's College London
- University of Oxford
- ;
- Anglia Ruskin University
- European University Institute
- Imperial College London;
- Liverpool School of Tropical Medicine;
- The Alan Turing Institute;
- The Francis Crick Institute
- University of Manchester
- University of Sunderland in London;
- University of Wolverhampton
- University of Worcester
- 8 more »
- « less
-
Field
-
programmes. This is an exciting opportunity to teach within a modern curriculum that combines computer science, artificial intelligence, software engineering, cloud computing, machine learning and responsible
-
, Django, FastAPI, or Streamlit) Experience deploying applications to cloud platforms (e.g., AWS, Azure, or GCP) Experience with API integration and working with external data sources Desirable Criteria: PhD
-
, experience working with large-scale geospatial datasets and high-performance or cloud computing, and demonstrated expertise in advanced machine learning. Experience leading research projects, managing budgets
-
to support your professional growth throughout the project. What we are looking for: You should be educated to PhD level in a relevant field such as Artificial Intelligence, Machine Learning, Computer
-
CUDA kernels and/or Triton, and inference engines (vLLM, SGLang, et cetera). Experience coding with deep learning libraries such as Pytorch/JAX is essential. Applicants must hold a PhD in computer
-
of the molecular ISM of galaxies, with a focus on galaxy centres. In particular, this project aims to measure the spatially resolved properties of giant molecular clouds and/or weigh the supermassive black holes
-
software packages . We develop and work with state-of-the-art, high performance computing and cloud infrastructure to realise collaborators’ data science and artificial intelligence research at scale. HOW
-
PhD Studentship: Efficient Long-Horizon Task Execution in Physical AI (deep learning, computer vision, robotics) Number of awards: 1 Award information: Fully funded PhD studentship covering Home
-
to build ‘design-build-test-learn’ pipeline through computational design and experimental validation. About you PhD (or in the final stages of PhD submission) in computational biology, evolutionary genomics
-
are looking for: Research Associate: A PhD (or be close to completion) in an area pertinent to the subject area, i.e. operating systems, networking, distributed systems, cloud computing. Research Assistant: A