10 parallel-processing-bioinformatics-"Multiple" PhD positions at University of Oxford
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computational approaches towards a new project which seeks to better understand the causes and consequences of the correlation between multiple traits and to quantify trait variation that arises from new
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multiple smaller/lighter elements. This could make them suitable for a range of applications that could include: (i) line-side cantilever gantries for railway electrification; (ii) transmission tower and
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-matter interactions, via theory and simulations, to measure quantum dynamics in atoms and molecules. The project aims to explore new ideas for how quantum tomography, combining multiple measurements and
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health, and bioinformatics. You will apply advanced AI methods - from classical machine learning to large language models and agent-based AI - on large-scale healthcare datasets, including structured
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services research and epidemiology, along with practical skills in managing large, complex datasets. Proficiency in statistical software, especially STATA, is essential. You must be able to handle multiple
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Title: Dynamic Processes in Organic Functional Materials Supervisors: Professor Paul R. McGonigal & Dr Alyssa-Jennifer Avestro Start date: 1st October 2026 Applications are invited for a DPhil
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desirable as would experience integrating behavioural, phenomenological and neuroimaging datasets with theoretical implications. Diversity Committed to equality and valuing diversity Application Process You
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://hr.admin.ox.ac.uk/staff-benefits Application Process This position is fixed term until 30/12/2026 Applications for this vacancy are to be made online. You will be required to upload a supporting statement and CV as
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Process You will be required to upload a CV and Supporting Statement as part of your online application. The Supporting Statement should include a cover letter and should also clearly describe how you meet
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Experience in design and fabrication of devices and/or Soft Robots Experience in Material Testing/Characterization Basic knowledge of Control Theory Application Procedure Informal enquiries are encouraged and