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Field
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, or privacy-preserving machine learning. Track record of working in multidisciplinary teams or collaborating with public sector/industry partners. Modes of Work Positions that are eligible for hybrid or mobile
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, exomes). Demonstrated experience as an expert level user of HPC infrastructure / Linux systems. Demonstrated experience implementing key R and / or Python packages. Track record of publications
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: emerging mobility, mixed traffic modelling, connected and automated vehicles, micromobility, experimental design using driving simulators, virtual reality (VR) and augmented virtual testing, and test tracks
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learning, privacy preservation, explainable/responsible AI, or software security. Strong Publication Track Record: Demonstrated experience writing and publishing high-quality, peer-reviewed research papers
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field. • A strong track record of first-author publications in top-tier HCI venues (e.g., CHI, CSCW, ASSETS or DIS). • Proficiency in qualitative and/or mixed-methods research, including experience
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: Towards Infinite Dimensional Generative Models. The contract period of the position is up to three years subject to funding availability. Applicants should be familiar with and have track records in
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such as an research track sprayer, leaf area meter, root scanner, and LI-COR photosynthesis systems; Develop strong competencies in collecting, processing, and analyzing plant samples to characterize
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developments in the field. Required Qualifications Ph.D. in computer science, informatics, or closely related fields (by the start date). Demonstrated expertise in data visualization, with a track record of
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. Experience of organising workshops, co-production, or developing creative outputs (e.g. exhibitions, digital history) is also key. The candidate should have a good track record of publishing in the field
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Research Fellow: A proven track record of research leadership, with the ability to develop influential research programs and contribute to expanding knowledge and practice. Significant experience supervising