Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Birmingham
- Nature Careers
- King's College London
- KINGS COLLEGE LONDON
- The University of Southampton
- University of Nottingham
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF SOUTHAMPTON
- University of Sheffield
- ; Technical University of Denmark
- ; University of Exeter
- Birmingham City University
- CRANFIELD UNIVERSITY
- Imperial College London
- Kingston University
- Manchester Metropolitan University
- Queen's University Belfast
- UNIVERSITY OF SURREY
- University College London
- University of Bristol
- University of Exeter
- University of Glasgow
- University of Leeds
- University of London
- University of Stirling
- University of Surrey
- 18 more »
- « less
-
Field
-
. The candidate will have hands-on experience with Edge AI and embedded systems security, as well as a solid grounding in AI security and Trustworthy AI. They will be proficient in Python and ideally familiar with
-
quantitative data analysis. Proficiency in programming (e.g., JavaScript, Python, React for iOS/Android) is important. Additional strengths would include experience with physiological sensing (e.g., EEG
-
genomics is also essential, as is experience in scripting and/or programming using languages such as Bash, C, C++, or Python. What we offer Appointment as Research Fellow is dependent upon having been
-
language, with a strong preference for Python. Desirable criteria: Additional experience in machine learning, statistical learning theory or related fields Fluency in relevant models, techniques or methods
-
knowledge of experience with python and modern machine learning architectures (e.g. VAEs, transformers) and libraries (e.g., numpy, pytorch or tensorflow or JAX frameworks). A4 Knowledge of mathematical
-
skills (R, Unix or Python) to develop research programmes in this area, and familiarity with experimental NGS sequencing approaches. Please ensure you read the Job Description and Person Specification
-
of physics/maths and biology is essential. Coding competency (in C, Python, Matlab or similar language) is essential. Applicants should demonstrate a publication record appropriate to their level of experience
-
responsibilities will include: Develop Automated Workflows: Utilise Python scripting (or equivalent) to automate job preparation, submission, analysis, and visualisation for high-throughput quantum chemistry
-
written and verbal communication skills, experience with developing and implementing Bayesian statistical models, and be proficient in computer programming in e.g. R or Python, and C/C++. Please ensure you
-
language, with a strong preference for Python. Desirable criteria: Additional experience in machine learning, statistical learning theory or related fields Fluency in relevant models, techniques or methods