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seek an ambitious and self-motivated postdoctoral researcher with a strong background in bioinformatics and/or computer sciences (or related fields). Experience with AI and Machine Learning models in
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for drug resistance. This role involves collaborating with researchers at Queen Mary University of London and across a large international consortium. About You You will have a PhD (or be near completion) in
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job title will be defined with the successful candidate based on their research area, and vision for the role. We view the remit in broad terms, involving digital technologies, data science, machine
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, machine learning, and other topics related to real-world applications of robotic systems, but we are particularly interested in candidates whose research aligns with artificial intelligence approaches
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and Machine Learning in Healthcare, Medical Digital Twins, Biomechanics and Computational Physiology, Biomedical Signal Processing, Medical Imaging and Analysis, Systems and Engineering Biology, and
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practice impact while also learning about machine learning techniques. The successful applicant will work in the newly formed Health Equity Evidence Centre and innovative new centre that will generate data
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Machine Learning software, e.g., Python, Java, C++, Prolog, Javascript Proven ability to analyse and write up research results and handle related administrative duties Ability to develop multi-agent
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-domain radio astronomy with machine learning and scientific software development to build a new framework for analysing pulsar glitches. For this project, the post holder will have access to state
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skills and a high level of competence in econometrics and machine learning are desired. Experience in economic experiments would also be desirable. Most of all, the successful candidate will have a great