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, medieval city with a large student community, situated at the Norfolk coast with an active pub and coffee scene. For further information and to apply, please visit our websites: https://quadram.ac.uk/about
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applicants typically have backgrounds in computer science, statistics or econometrics but should have an intrinsic interest for marketing problems. The PhD will be supervised by Prof. Dr. Lemmens and funded by
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Details Title Pre-Doctoral Fellowship (Profs. Laibson/Choi/Beshears) School Faculty of Arts and Sciences Department/Area Economics Position Description Economics professors David Laibson (Harvard
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of high cor
English. Additional qualifications: It is advantageous to have experience in one or more of the following areas: Electron microscopy (environmental TEM and SEM) Large data image treatment Corrosion
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evolutionary dynamics from cfDNA" under the guidance of Prof. Trevor Graham at the ICR. Please see https://www.icr.ac.uk/study-and-careers/phds-at-the-icr/our-phd-projects/detail/towards-non-invasive-monitoring
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). To make sense of the wealth of information in these large data sets, we will deploy advanced cancer genomics workflows in the secure and scalable UZ Leuven Genomics Core cloud and report insights
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that language can be fully expressed in the visual modality. - Using large-scale data-driven methods to recognise and interpret the interplay of speech and other modalities. This could involve training
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your motivation to study this PhD project and your CV. For more information on the group visit: www.deboresearchgroup.com Contact Prof. Guillaume De Bo: guillaume.debo@manchester.ac.uk
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, the University contributes to a better future. Doctoral position in Natural Science, Specialising in Chemistry (focus on Structural Biology) As a PhD student you will be part of the research group of Prof Gisela
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learns auditory information. Methodologically, the project will explore the integration of information-theoretic decompositions, deep neural architectures, and large language models (LLMs) as powerful