Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- Nature Careers
- KINGS COLLEGE LONDON
- UNIVERSITY OF SOUTHAMPTON
- University of Birmingham
- University of Nottingham
- King's College London
- The University of Southampton
- UCL;
- UNIVERSITY OF SURREY
- Imperial College London
- Plymouth University
- QUEENS UNIVERSITY BELFAST
- Queen's University Belfast
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Leeds
- University of Leeds;
- University of London
- University of Oxford
- University of Southampton;
- ; University of Oxford
- Brunel University
- CRANFIELD UNIVERSITY
- EMBL-EBI - European Bioinformatics Institute
- Queen's University Belfast;
- Technical University of Denmark
- UNIVERSITY OF MELBOURNE
- University of Bath;
- University of Cambridge
- University of Exeter
- University of Glasgow
- University of Hertfordshire;
- University of Plymouth;
- University of Sheffield
- 24 more »
- « less
-
Field
-
standard public holidays and an additional 4 days including the closure of our office between Christmas and New Year Location: Hatfield, Hybrid We are seeking a full-time Research Fellow on Machine Learning
-
to the project’s scope, such as mechanistic interpretability of LLMs, robustness verification of machine learning models, and conformal inference. Applicants should demonstrate scientific creativity, research
-
verification of machine learning models, and conformal inference. Applicants should demonstrate scientific creativity, research independence, the capacity to support junior team members, and strong communication
-
to the project’s scope, such as mechanistic interpretability of LLMs, robustness verification of machine learning models, and conformal inference. Applicants should demonstrate scientific creativity, research
-
of subsurface processes. You will be responsible for leading the development of the approach, which could include transferring learning from other geographic regions and data types, machine learning methods
-
research experience to include: Experience developing novel deep learning methodologies (e.g. transformer models, Convolutional Neural Networks, Auto-encoder models, or LSTM networks). Demonstrable ability
-
researcher to help us deliver it. By combining coherent Raman scattering with machine-learning models trained on plant mutants, the project will shed new light on the cellular-level biochemistry that governs
-
statistical, machine learning, and artificial intelligence (AI) techniques to analyse 'omics and clinical data, and contributing to the development of biomarkers and predictive models. A critical part of your
-
implementing bioinformatics pipelines from raw data, applying a range of advanced statistical, machine learning, and artificial intelligence (AI) techniques to analyse 'omics and clinical data, and contributing
-
learning, the topology and geometry of data, or the dynamics of learning. The successful candidate should have, or be expecting soon to receive, a PhD in Mathematics, or related field, with demonstrated