112 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at University of Bristol
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, and collaborative leadership skills. You are proactive about professional development and committed to advancing global academic standards. You can apply for the role at the below link - https
-
more about what it's like to work in the Faculty of Engineering, and how the Faculty supports people to achieve their potential, please see our staff blog: https://engineering.blogs.bristol.ac.uk
-
to the development of robust, reproducible machine learning workflows. The role forms part of a nationally significant research programme with strong policy relevance, working in collaboration with the Imago Data
-
image and video processing algorithms Developing and adapting machine learning models Integrating and deploying algorithms onto industrial hardware Evaluating performance in realistic scenarios and
-
climate change, public health, or social inequality. Supervised by Dr Zhu and Dr Lo, the successful candidate will develop spatially explicit machine learning frameworks and interdisciplinary knowledge
-
Collective Artificial Intelligence Reinforcement Learning and Multi-Agent Systems Scientific Machine Learning AI in Robotics (Embodied AI) For a full description of responsibilities and selection criteria
-
Markov chain Monte Carlo. Publish in leading machine learning, AI, statistical, mathematical, or appropriate application journals. Contribute to publications in these journals jointly with other members
-
quantum technologies at QET Labs. At the heart of this research strength is Isambard AI, a flagship national initiative designed to accelerate breakthroughs in machine learning, drug discovery, and climate
-
. · Good communication skills, a good speaking voice with clear and with good diction · Computer and keyboard literate · Experience of working in a similar switchboard operator or call centre would be
-
adaptable and able to deliver high quality, efficient and effective clinical administrative support You have strong computer skills, email communications, Microsoft packages ( full training will be given