Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Birmingham
- University of Nottingham
- Imperial College London
- KINGS COLLEGE LONDON
- King's College London
- Nature Careers
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Leeds
- University of Oxford
- Brunel University
- CRANFIELD UNIVERSITY
- UNIVERSITY OF SOUTHAMPTON
- Birmingham City University
- Manchester Metropolitan University
- Queen's University Belfast
- UNIVERSITY OF SURREY
- University of Bristol
- University of Cambridge
- University of Liverpool
- University of Manchester
- University of Salford
- University of Sheffield
- 13 more »
- « less
-
Field
-
developing ideas for application of research outcomes. This post also be linked to research activities linked to the Faculty’s research platforms such as the Power Electronics, Machines and Control Research
-
science and artificial intelligence concepts and tools to solve complex problems. Candidates will also be developing machine learning techniques and applying them at scale to specific projects with regular
-
time role, 0.1FTE. The activities of this role will support development of future proposals for funding, into AI for renewable energy. You will consider ways in which the integration of machine learning
-
. You will also be responsible for implementing the model as a computer simulation and analysing it within a health-economics framework using standard computational techniques. You will also be
-
, Bayesian and maximum likelihood approaches, spatial statistics and random forests or other machine-learning approaches and be quick to learn new techniques. Enjoyment of analysis of large and spatially
-
, science and the economy. The postholder will be responsible for undertaking research in generative AI and machine learning methods for audio generation and audio-related multimodal content generation
-
and the economy. The postholder will be responsible for undertaking research in generative AI and machine learning methods for audio generation and audio-related multimodal content generation, including
-
for manufacturing operations. Process control: process modelling, control, and optimization, with applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in
-
quantitative and digital methods, such as descriptive/inferential statistics, data modelling, machine learning (ML), experimental prototyping and technology ideation. A significant degree of autonomy is required
-
, computational biology, computer science, data science or a related subject area and proven knowledge of python programming, developing machine learning/AI based tools and HPC. You will be expected to work as part