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and realign how we measure and model populations by infusing new types of data, methods and unconventional approaches to tackle the most challenging demographic problems of our time. We are seeking a
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the team and collaborate in the preparation of scientific reports and journal articles and occasionally present papers and posters. You must hold a relevant PhD/DPhil (or be near completion), together
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Computational Methods for Advanced Research to Transform Biomedicine ( SMARTbiomed ), an international collaboration that integrates large-scale, multimodal biomedical data with advances in statistical and
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trials, analysing and presenting data, contributing to manuscripts for publication and training, and supervising junior staff. You will participate in the research programme led by Professor Adrian Hill
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expected that the successful candidate will contribute to the computational analysis of multi-omic data that will be generated during the project. The candidate must hold or be near completion to a PhD/DPhil
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for multi-omics data analysis and will require establishing collaborations with Danish research partners. You will have a PhD in a quantitative subject (e.g. mathematics, physics, computer science
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depend on the specific project. You will be responsible for conducting the research project selected, including the production of novel scientific data and presentation at national and international
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used for all aspects of cell/molecular biology/biochemistry. It is essential that you hold a PhD/DPhil (or close completion) in molecular biology, biochemistry, cancer research or a related life science
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at the University of Oxford. The position is funded by the EPSRC-FNR project “FleXEdge - Data-Driven Cloud-to-Edge Computing for Scalable Near Real-Time Local Flexibility Markets”. It is fixed-term for 36 months
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, and computational science while developing a broad skill set. The successful candidate will have, or be close to completion of, a PhD in a discipline closely related to neuroscience. With experience in