Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- ;
- AALTO UNIVERSITY
- University of Cambridge
- Heriot Watt University
- KINGS COLLEGE LONDON
- Durham University
- UNIVERSITY OF VIENNA
- City University London
- Loughborough University
- University of Glasgow
- University of Liverpool
- University of London
- ; Austrian Academy of Sciences
- ; Technical University of Denmark
- ; University of Liverpool
- DURHAM UNIVERSITY
- Imperial College London
- King's College London
- Nature Careers
- Nottingham Trent University
- University of West London
- 12 more »
- « less
-
Field
-
will be tailored to your expertise, spanning from hardware design to system-level optimization and control methods. For the AI position, you will develop machine learning models that incorporate physical
-
developing characterisations of network models and interactions with methods in statistical machine learning. The post holder provides guidance to junior members of the research group including project
-
Agency (ARIA). The PROTECT project (Probabilistic Forecasting of Climate Tipping Points) brings together cutting-edge AI, statistical, and machine learning techniques with climate modelling, aiming
-
-quality robotics research in the areas of robot grasping and manipulation, kinematics and mechanisms, sensing, and human-robot interaction. Within CORE, SAIR focuses on multimodal machine learning for human
-
genomic data. -Analyse and integrate different 'omics data to understand milk biosynthesis pathways. -Apply machine learning methods and statistical approaches to explore and interpret data. -Organise data
-
sleep; performing anatomical tract tracing; analysing existing and new datasets using python and Matlab using advanced statistical methods such as machine learning; collaborating with other members
-
small highly motivated inter-disciplinary team working towards a shared goal. You will be responsible for the design and testing of original machine-learning based algorithms and models for multi-modal
-
. Responsibilities include working with digital signal processing, advanced filtering techniques, dynamic feature extraction, time-domain and frequency-domain analysis, signal fusion and machine learning to enhance
-
, learning and decision making, you will have strong quantitative and programming skills along with a track record of designing neuromodulation and neuroimaging studies in healthy participants, of using
-
developing characterisations of network models and interactions with methods in statistical machine learning. The post holder provides guidance to junior members of the research group including project