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interaction techniques that are gaze-assisted or attention-aware Exploring gaze in combination with modalities for productivity in extended reality (XR) You should have a PhD degree or equivalent experience, a
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the following themes: textural and granulometric analysis of pyroclasts/particles (e.g., size, shape, density of particles) computer-based image analysis of high-speed video footage from analogue
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supernovae and their host galaxies to improve measurements of the cosmological parameters. The work will primarily focus on new, high-resolution imaging from the Euclid mission. In addition, new survey data
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hold a PhD in a relevant field, having a background in preclinical translational neuroscience, brain imaging approaches and behavioural techniques. You should have experience of working with mouse models
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- Grade 5, and amended to research associate - Grade 6, when the PhD is awarded). The position is available from 1 Nov 2026. Fixed-term: The fund for this post is available for 36 months in the first
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structure, function, and benefits to people. This specific position will focus on how biodiversity-ecosystem function relationships and ecosystem recovery potential are influenced by seabird nutrient inputs
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-mentoring of PhD students. You are encouraged to think through their own ideas about the role of seabird nutrients on food web rewiring and how their area of expertise could be applied to this study. You will
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applying AI to complex real-world problems. You should have a PhD in computer vision, machine learning, AI or a related discipline, with practical experience developing and applying deep learning approaches
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Position Description The School of Mathematical Sciences at Lancaster University is seeking to appoint a Senior Research Associate (SRA) to work within ‘MARS: Mathematics for AI in Real-world
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PhD in Linguistics (specialization in Psycho- or Neurolinguistics), Psychology (specializing in language and/or bi-/multilingualism), Cognitive (Neuro)Science or a cognate area and will be able