Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- ;
- University of Oxford
- AALTO UNIVERSITY
- Imperial College London
- KINGS COLLEGE LONDON
- University of Birmingham
- UNIVERSITY OF SOUTHAMPTON
- King's College London
- University of Bristol
- Durham University
- Heriot Watt University
- UNIVERSITY OF SURREY
- University of Glasgow
- University of Nottingham
- University of Surrey
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Swansea University
- University of Cambridge
- University of Sheffield
- ; Technical University of Denmark
- City University London
- DURHAM UNIVERSITY
- Glyndwr University
- Kingston University
- Nature Careers
- Oxford Brookes University
- The University of Southampton
- UNIVERSITY OF GREENWICH
- UNIVERSITY OF VIENNA
- University of Greenwich
- University of Manchester
- 21 more »
- « less
-
Field
-
highly motivated researcher to develop artificial intelligence based novel algorithms and computational workflows to predict the impact of mutations on genes in the avian flu virus and the viral host which
-
binding pockets. About the role We are seeking a highly motivated researcher to develop artificial intelligence based novel algorithms and computational workflows to identify domain functional families
-
bioinformatics Previous experience with AI and/or machine learning approaches Interest in reproductive health and/or development of clinical tools and algorithms Downloading a copy of our Job Description Full
-
work alongside renowned academics and researchers in ENU’s School of Computing, Engineering and the Built Environment. If you are someone with expertise in multimodal speech processing and AI algorithms
-
areas, and be able to creatively combine disciplines to make new research advances in fluid mechanics. You will be creating data-driven algorithms which can solve state estimation problems in fluid
-
, including: Robot Learning: Creating algorithms that empower robots to learn autonomously from interactions and adjust to new tasks. Manipulation: Enhancing techniques for precise and adaptable object handling
-
Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods
-
. The scope of the research will encompass aspects such as network monitoring, routing algorithms and network-hardware benchmarking. About you You should possess a MSc/MEng in Engineering, Computer
-
the coordination of large-scale robot systems (ground and aerial). The ideal candidate will possess hands-on experience with designing and implementing reinforcement learning algorithms, and deploying them onto real
-
HiPerBreedSim project. In this role, you will leverage recent advances in working with ancestral recombination graphs (ARGs) to develop algorithms and code for simulating population genomic data, including