60 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions at University of Glasgow
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Online Distance Learning Event: Tuesday 3 March 2026, 9am – 6.30pm Discover what it’s like to be a postgraduate Online Distance Learning student at UofG during our virtual event Find out more and
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, and attenuation, will help to recognise the shape, size, and materials of urban features, through the application of statistical, machine learning (ML) and artificial intelligence (AI) techniques
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MPhil (Research): 1 year full-time; 2 years part-time; Thesis of 30,000-40,000 words Apply now Overview Overview Our research strengths include: Scottish military history Medieval warfare Early modern
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protein expression across tissues and developmental stages, quantifying correlations between transcript and protein levels. Using machine learning, we will identify conserved expression profiles
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and the Historic Avant-Garde (Auto)biographical/Testimonial Literature in Latin America Photographic Narrative in Mexico Brazilian History Culture and Society Political Cinema and Documentary
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strong emphasis on the development of valuable transferable and personal development skills, such as finance-oriented computer programming, presentation and professional writing skills. As a PhD student in
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protein expression across tissues and developmental stages, quantifying correlations between transcript and protein levels. Using machine learning, we will identify conserved expression profiles
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alongside members of staff in Student Learning Development (SLD) in the delivery of academic literacies teaching to taught students in both the College of Social Sciences and the College of Arts & Humanities
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alongside members of staff in Student Learning Development (SLD) in the delivery of academic literacies teaching to taught students in both the College of Science & Engineering and the College of Medical
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] MacPherson, G. J. (2003). Treat. on Geochem., 1, 711 Project Description In order to understand the distribution and variety of CAI’s across all chondritic meteorites, machine learning analytics will be