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Field
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research profile within organisational studies, Computer-Supported Cooperative Work, Human-Computer Interaction or related research areas as documented by a PhD dissertation and/or research publications
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. The post is offered at a competitive salary (Grade 6, Spine Point 33 on the KCL salary scale), and includes provisions for travel money, computer equipment and academic and leadership training. This is a
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, Electrical and Computer Engineering, or a closely related field. ● Proficiency in MATLAB or Python. ● Prior experience with Neuroimaging analysis (using FSL, AFNI, SPM, etc.) ● At least one
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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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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
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tablet based cognitive screening tools for use with those with acquired brain injuries (e.g., stroke, traumatic brain injury etc). The post-holder will be expected to be central in data collection in
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. Knowledge on computer programming and web development tools Evidence of publications in reputed refereed journals and presenting at conferences. Some experience in meaningful internal service roles and
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Engineering, or a closely related field. * Proficiency in MATLAB or Python. * Prior experience with Neuroimaging analysis (using FSL, AFNI, SPM, etc.) * At least one journal publication as first author
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well as an active engagement in the 3RTG activities. Requirements: successfully completed university degree (Master's, Diploma or equivalent) and relevant PhD in Computer Science, Computer Engineering, or related
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identification of phases in metallic systems such as aluminium alloys or steels. You will have demonstrated expertise in applying machine learning and computer vision techniques for the analysis of scientific