12 machine-learning-phd Postdoctoral positions at University of London in Ireland-United-Kingdom
Sort by
Refine Your Search
-
equivalent level of professional qualifications and experience, with expertise in at least one of the areas: machine learning, applied topology, and/or probability theory. About the School The School has
-
meetings across the EU, perform R&D in the field of machine learning for plant species classification and support the implementation of the project application development. About You Applicants must have a
-
areas: machine learning, applied topology, and/or probability theory. About the School The School has an exceptionally strong research presence across the spectrum of Mathematical Sciences. It is part of
-
characteristics using hybrid machine learning approach. This project is in collaboration with Kyushu University, Japan under the supervision of Dr Amin Paykani at Queen Mary University of London to realise
-
apply Overview About the Role Applications are invited for a post-doctoral research associate to lead on a Barts Charity funded project. The research involves application of machine learning methods
-
computing, AI, biomedical engineering or signal processing) or a higher degree (e.g. MSc) with substantial experience in multimodal machine learning with appropriate track record. Excellent programming skills
-
Telescope. This research may involve the analysis of large datasets, the generation of new simulations and the utilisation of Machine Learning techniques. The PDRA will be expected to hold a PhD in
-
computer science with specialisation in data science, machine learning or deep learning, or in Earth/Environmental Science with experience in applied data science, machine learning or deep learning. You also will
-
Bayesian networks, causal discovery/machine learning, Markov decision processes, decision theory, simulation Applicants are expected to broaden their knowledge in autonomous electromagnetic defence systems
-
have a PhD in a numerate field with expertise in machine and deep learning methods, supported by high quality publications. Experience of applying such methods to healthcare data is an advantage