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administration. This is part of your personality: Completed doctoral/PhD studies in subject Modern German Literature Subject-specific expertise in Modern German Literature or Comparative Literature/European
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contribute to research on applied machine learning methods that support robust decision-making under uncertainty. This may involve working with structured datasets, panel data, text data, regulatory documents
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concurrent programming will be particularly desirable. You should have a PhD in experimental High Energy Physics and have the potential to be a leader in the field. Experience with software, computing
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The job details are shown below. For further information click on the link for the job description. Help uncover how plastic pollution may be fuelling the global liver disease epidemic and join a
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and interpreting data, and communicating results to academic and industrial collaborators. You will also contribute to publications and presentations and provide guidance to junior members
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optimization of large language models (LLMs) and related architectures for generative tasks, continuous learning, indexing or retrieval, support of retrieval augmented generation over many data points from long
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data infrastructures and have the ability to use some data science methods. About the Candidate The successful candidate must have a PhD in infrastructure studies, data science or related fields, and
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. Bioinformatics techniques will include database-driven analyses and quantitative comparative genomics approaches. They will be close to completion or hold a relevant PhD/DPhil, together with relevant experience
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to PhD level in an area related to Computer Science, the applicant will be proficient in software development, systems administration, networking and cloud. This is an invaluable opportunity to develop
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work with computational biologists to comply with data management principles and maximise data sharing within the Oxford–AbbVie initiative. It is essential that you hold a PhD/DPhil (or be close to