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of mathematics and AI. For more information about MARS research visit our webpages here . These are full-time, three-year positions. Flexible working arrangements will be considered but you will be expected to be
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-luleipzig@lancaster.ac.uk Further details about Lancaster University Leipzig can be found at http://www.lancasterleipzig.de/ We welcome applications from people in all diversity groups. Lancaster University
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2026 Reference: 0989-25 Modalities for Understanding, Recording and Integrating Data Across Early life (MURIDAE) to elucidate the neurodevelopmental impact of schizophrenia risk genes We are looking
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classification algorithms including machine learning); and the output data and interpretability. The project “SORS in the community” is funded by the EPSRC (https://www.ukri.org/news/new-tools-aim-to-improve-early
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hyperexcitability underlying predisposition to aberrant perceptions such as visual distortions and hallucinations. The role involves designing, programming and conducting computer-based experiments to assess
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part of that team! Take a look at the facilities here: https://youtu.be/81Aw-nL95qo Lancaster University’s main Bailrigg campus is a lovely place to work, combining a busy urban atmosphere while
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competing deadlines, and the ability to work effectively within a team and across teams. Be able to present information accurately and communicate effectually with a wide range of people. Be able
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experienced in risk management and/or business continuity in a complex organisation and is a clear communicator, able to engage and influence a wide range of stakeholders. For further information, please review
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to apply at their earliest convenience. Applications will be reviewed as they are received, and the search may close once a strong pool of candidates has been identified. For further information, please
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each period faces a different context, breaking typical data assumptions. The focus of this role will begin with calibration, analysing distance metrics between simulated and system performance both