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project funded by the Leverhulme Trust. Description below: The density of information content in screen media – i.e., the light, volume and pitch changes from which we extract meaning – has increased
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Closing Date Sunday 17 August 2025 Reference PHD002-25 A funded PhD position is available on a project funded by the Leverhulme Trust. Description below: The density of information content in screen media
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. The project will involve significant collaboration, sample exchange, semiconductor and device characterisation. For more information on the position please contact Prof. Phil Dale phillip.dale@uni.lu or Prof
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A funded PhD position is available on a project funded by the Leverhulme Trust. Description below: The density of information content in screen media – i.e., the light, volume and pitch changes from
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electromagnetic signatures, primarily focussed on linking the data from these exciting experiments with our theoretical understanding of gravity and the most extreme regions of the Universe. I am a member of the
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Hannover Institut für Erdsystemwissenschaften / Abteilung Bodenkunde / Naturwissenschaftliche Fakultät Prof. Dr. Stephan Peth Address StreetHerrenhäuser Str. 2Zipcode30419CityHannover Contact details Tel:+49
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Hannover Institut für Erdsystemwissenschaften / Abteilung Bodenkunde / Naturwissenschaftliche Fakultät Prof. Dr. Stephan Peth Address StreetHerrenhäuser Str. 2Zipcode30419CityHannover Contact details Tel:+49
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needs. While muscle imaging from well-characterised patients and transcriptomic technologies provide rich data, these remain under-utilised for predictive modelling. Using machine learning, this project
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will be able to apply for this scholarship at the same time you apply for admission to a QUT Doctor of Philosophy In your EOI, nominate Assoc Prof Lazzarini as your proposed principal supervisor, and
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Job Description Are you passionate about scientific machine learning, particularly physics-informed machine learning? If so, this position might be perfect for you. We are seeking a data scientist