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bioinformatics, computer science, or a related field, with experience in interdisciplinary research and a strong interest in life sciences. You possess expertise in analysing large datasets, applying machine
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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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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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, 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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to scientific journals. The work will establish a high-content / high-throughput microscopy assay in zebrafish embryos enabled by machine learning, and would suit an individual with a background in AI-based
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health implementation in low-income and middle-income countries (LMICs). The post-holder will be developing prediction models using classical statistical methods, machine learning (ML), and Artificial
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work in an efficient and organised manner. Working unsupervised and a willingness to learn new techniques would be expected, whilst familiarity with other veterinary diagnostic disciplines would be
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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