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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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Hannover Institut für Erdsystemwissenschaften / Abteilung Bodenkunde / Naturwissenschaftliche Fakultät Prof. Dr. Stephan Peth Address StreetHerrenhäuser Str. 2Zipcode30419CityHannover Contact details Tel:+49
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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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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
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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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university Heidelberg (Prof. Dr. Skyler Degenkolb) seek to bring quantum sensing methods into precision neutron science, further extending the power and reach of these measurements. Innovative new devices can
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Research Center (CRC) “Data-driven agile planning for responsible mobility” (AgiMo), funded by the German Research Foundation (DFG). This interdisciplinary center, involving four universities and the German
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Supervisory Team: Prof Middleton, Prof Gandhi PhD Supervisor: Matt Middleton Project description: We know of only 20 or so black holes in our galaxy yet predict there should be 10s of millions