Decimitry Sciences is a UK–US company headquartered in Oxford, specialising in causal reasoning for enterprises, irrespective of data quality. Its technology merges causal inference, multidimensional data processing, predictive analysis, and novel mathematical models to deliver adaptive, human-level decision-making, even when data is limited or mostly nonexistent.

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Merton College has one three-year, fixed-term Early Career Researcher position from 1 October 2026 or as soon as possible thereafter in the fields of Mathematics or Computer Science (broadly interpreted). 

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Image: T Nelson - Oxford University, Merton College, 1900 (chromolithograph)

With over 100 events planned for Michaelmas term, the Careers Service offers a wide range of opportunities to help you build a successful professional future. Events include skills workshops, information sessions, six in-person careers fairs, and skills development programmes covering topics such as CV writing, interview skills, and sector insights. 

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The Synthetic Society Lab at the Oxford Internet Institute invites applications for a three-year postdoctoral position, working on cutting-edge research at the intersection of Machine Learning, Privacy, and Public Interest Technology.

We are a research group led by Luc Rocher, conducting human-centred computing research to understand how data, digital infrastructure, and algorithms impact society.

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Image: Theresa Bernstein - Church Congregation

Qdot, an Oxford spin-out based at Oxford Airport, are working towards the dream of clean, sustainable flight and they are recruiting a Numerical Methods Engineer to take a central role in developing numerical models and simulation tools to solve complex physical problems.

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Image: Joseph Mallord William Turner - Steam-Boat off a Harbour’s Mouth

The Oxford Numerical Modelling Society (OxNuMoS) is a new initiative with the goal of bringing together like-minded, passionate early-career researchers from a range of diverse disciplines (right across the MPLS division) to exchange individual experiences on the fundamentals of complex computational modelling. 

Researchers interested in joining should contact @email

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