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Field
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testing and stakeholder engagement. Collaborate closely with the PhD researcher to connect environmental data analysis with computational design innovation. Participate in fieldwork in Norwegian glacier
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expected to be bioinformatic in nature. Applicants must have a PhD in a relevant subject, experience of macrosynteny analysis and phylogenetic analysis of gene families, and a thorough knowledge of animal
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scholars in Law and two PhD students (one in Law and one in Computer Science/Data Analytics), as well as with international, European and national stakeholders involved in the CURE project. The post-holder
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personality: Excellent German language skills (at least C1 level) are essential Completed doctoral/PhD studies in Islamic-Theological Studies or a comparable discipline Research in the field of Islamic theology
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for candidates to have the following skills and experience: Essential criteria PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets
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biology, mass spectrometry and in vivo studies. About You The post requires a dedicated, motivated and passionate PDRA with a PhD in a relevant subject. The study requires substantial skills in cell and
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Oxford’s Department of Orthopaedics (NDORMS) as well as collaborators in Bristol and Cardiff. You should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely
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on evaluating the abilities of large language models (LLMs) of replicating results from the arXiv.org repository across computational sciences and engineering. You should have a PhD/DPhil (or be near completion
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team consisting of four other PDRAs and several PhD students, academic leads from the University of Reading, University of Oxford and Northumbria University as well as project partners including
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and restorative recommendations for institutional strategy You will possess: A PhD in history or a related discipline, or equivalent research experience Experience accessing and working with archival