Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- King's College London
- University of Oxford;
- University of London
- Durham University
- Nature Careers
- University of Lincoln
- University of Lincoln;
- Aston University
- Birkbeck University of London
- Birkbeck, University of London;
- King's College London;
- Plymouth University
- Queen Mary University of London;
- University of Canterbury, New Zealand;
- University of Leeds
- University of Reading
- University of Reading;
- 8 more »
- « less
-
Field
-
of Immunity – Artificial Intelligence (CoI-AI) Programme, a pioneering initiative that integrates controlled human infection models, advanced immunology, and AI-driven analytics to accelerate vaccine discovery
-
, explainable AI (XAI) analysis and data-flow mapping, on welfare-AI systems in the UK, Netherlands and Sweden, contributing to comparative insights and high-quality project outputs. They will collaborate across
-
successful in this position, you will ideally bring the following: For the Networking and AI position: Completed a PhD in Computer Science, Electrical & Computer Engineering, or a closely related field Expert
-
are looking for a researcher with a PhD (or near completion) in engineering, data science, computational social science or a related discipline, with experience in data analytics, NLP or machine learning. You
-
-lab role focuses on the computational analysis and methodological development of third-generation and single-cell sequencing data to understand the role of transposable elements (TEs) in early mammalian
-
facilities, collaborative teams and strong translational impact. About You Applicants should hold, or be close to completing, a PhD in biochemistry, analytical chemistry, immunology, cancer biology or a
-
will hold a PhD (or close to completion) or possess equivalent research experience in a relevant computational field such as data science, artificial intelligence, machine learning, computer science
-
Specification Essential Criteria: 1. Qualifications A good first degree in Computer Science, Artificial Intelligence, Data Science or a closely related discipline. A PhD in Explainable Artificial Intelligence
-
, machine learning, or data analytics. As a proficient programmer (ideally Python), you will be curiosity-led, with exceptional communication skills, and thrive in a highly interdisciplinary environment. You
-
candidate will hold a PhD in theoretical or mathematical physics, with knowledge of random matrix theory and/or its applications to theory of disordered/chaotic systems, and with some numerical skills