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Field
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computer programming in R and Python *Formal training or experience applying quantitative and spatial methods to human-environment questions *Excellent academic writing and communication skills in English
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research methods (including research ethics, interviewing, and analysis using software programmes such as NVivo. Strong experience in community engagement (preferably with minoritised ethnic people
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improve the overall learning experience for students. The project seeks to promote lifelong learning by revolutionizing traditional teaching methods and providing innovative tools for interactive and
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. By combining methods from human-computer interaction, clinical informatics, and artificial intelligence, we aim to create systems that enhance reasoning, surface relevant information at the bedside
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are seeking highly qualified applications to explore visual and LiDAR based navigation methods in the IDEAS lab (https://ouideas.github.io/). The expected responsibilities for this position are to assist with
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in complex in-situ environments. The key responsibility of the position is to develop post-processing methods to extra essential features from the collected measurement data despite drone positional
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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advanced microscopy techniques and related methods. Candidates who are nearing completion of their Ph.D. (i.e. with a confirmed defense date) or hold a Ph.D. in chemical engineering, chemistry, materials
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of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding
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training and experience; Proven knowledge in field of research; Experience in a variety of research techniques/methods and follow-up data collection; Knowledge of research procedures and protocols gained