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changes. In this role, you will take a lead on developing data analysis approaches and contribute to the overall study design and implementation. In particular, this will involve applying existing or even
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Aldridge research and group here About you Applicants must hold a PhD in synthetic inorganic chemistry or a relevant subject area, (or be close to completion) prior to taking up the appointment
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://www.demography.ox.ac.uk) and link with the Pandemic Sciences Institute (https://www.psi.ox.ac.uk). To be considered, you will hold or be close to completion of a PhD/DPhil in Demography, Data Science, Statistics
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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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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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-responsive molecular machines. The project is funded by the European Research Council. Find out more about the Langton research group at: here About you Applicants must hold a PhD in Chemistry or a related
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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
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completion, of a relevant PhD and have experience analyzing high-throughput sequencing data. Excellent communication skills and the ability to present your work and contribute to publications is essential
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PhD in Inorganic or Materials Chemistry or a relevant subject area, (or be close to completion) prior to taking up the appointment. The research requires experience in synthetic inorganic/materials
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responsibilities include testing hypotheses and analysing scientific data from a variety of sources, including sequencing and transcriptomics (including spatial transcriptomics), reviewing and refining working