Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Sheffield
- KINGS COLLEGE LONDON
- University of Glasgow
- University of Oxford
- University of Bristol
- UNIVERSITY OF VIENNA
- University of Birmingham
- University of Cambridge
- Arden University
- Imperial College London
- University of Leicester
- University of London
- Medical Research Council
- University of Manchester
- Cardiff University
- Heriot Watt University
- Nature Careers
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The University of Southampton
- UNIVERSITY OF SOUTHAMPTON
- Ulster University
- Aston University
- Cranfield University
- King's College London
- Manchester Metropolitan University
- Nottingham Trent University
- University of Newcastle
- AMERICAN UNIVERSITY OF THE MIDDLE EAST
- Lancaster University
- Loughborough University
- UNIVERSITY OF SURREY
- Durham University
- Harper Adams University
- Kingston University
- University of Cambridge;
- University of Lincoln
- ; University of Sheffield
- AALTO UNIVERSITY
- Birmingham City University
- EMBL-EBI - European Bioinformatics Institute
- European Magnetism Association EMA
- Falmouth University
- Hult
- King's College London;
- Loughborough University;
- QUEENS UNIVERSITY BELFAST
- Queen Mary University of London;
- The Francis Crick Institute;
- The University of Edinburgh;
- UCL;
- UNIVERSITY OF MELBOURNE
- University College London
- University of Bath
- University of Bristol;
- University of East London
- University of Hull
- University of Leicester;
- University of Liverpool
- University of Northampton
- University of Reading
- University of Southampton;
- University of Surrey
- 53 more »
- « less
-
Field
-
or experience of using Stata, R, Python, or similar. Knowledge of C++ would be advantageous but not essential. Ability to communicate complex information clearly. Excellent ability to work as a team and
-
neural networks for multimodal image analysis will be essential, as well as expertise in Python and C/C++ for scientific computing, and in ML/DL frameworks like TensorFlow, PyTorch, Keras, and Scikit-learn
-
and programming languages (e.g. R, python) and HPC Excellent interpersonal and communication skills across clinicians, wet-lab, and computational teams Desirable criteria Experience supporting
-
developing and applying statistical or machine learning models to real-world data Strong coding skills (e.g. in R, Python, or C++) and familiarity with collaborative software development Can work independently
-
conducting and reporting epidemiological studies using real-world data is essential. Proficiency in using statistical software packages such as R, Stata, SAS, or Python is also required. Strong organisational
-
to hear from candidates who have the following skills/experience: Experience of working on robotics/automation projects Experience of C/C++ and Python/JavaScript development for embedded environments
-
Experience with a high-level programming language (e.g. Python, Julia) Experience using and processing a variety of hydrological and environmental data sources, including large spatiotemporal datasets
-
Introduction to Programming with Python Supervised Machine Learning Expected Qualifications: Minimum of a Master’s degree related to the area of teaching, with a preference for an earned doctorate (PhD or DBA
-
Subject areas of particular interest may include: Machine and Deep Learning Data Visualisation Generative AI and LLMs Programming (Python, R, SQL) Databases and IoT Applied Statistical Methods You will also
-
for ML / LLM algorithms working over free-text clinical data and potentially mixed modalities (waveform, DICOM images etc.) Data manipulation and analysis capability, e.g. machine/deep learning in R/Python