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machine learning background. You will hold, or be about to obtain, a PhD in a relevant field. This is a unique opportunity to join a large UK-wide team of experts in causal inference for healthcare to make
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candidate with a strong background in some aspect of numerical analysis for PDEs and an interest in scientific machine learning and probabilistic methods, who enjoys working in collaborative inter
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Alexander Neimark (Rutgers University), Dr Mathias Steiner (IBM Research), and Dr Yongqiang Cheng (Oak Ridge National Laboratory). Together, the team integrates molecular and ab initio simulations, machine
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respiratory medicine. Applicants should have a PhD (or nearing completion) in computer science, biomedical engineering, computational medicine, machine learning, or biomedical data science, with a strong
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, Organometallic, Organic Chemistry and Machine Learning for a period of up to 36 months. The project, funded by EPSRC, will involve exploring the use of machine learning to develop new tools for investigating
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mapping algorithms for governments in Sub-Saharan Africa. The PDRA will contribute to development of machine and deep learning mapping algorithms in one of the IrrEO’s case study countries (Nigeria