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for aircraft systems. You will integrate heterogeneous data streams (from multiple sources, such as sensory, physics model, etc.), flag impending failures, pinpoint and trace back the origin of system faults
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date: 19th June 2025 Background To create and contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research
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multiple fields and audiences. This is a full time post (35 Hours per week), and you will be offered an a fixed term contract until 31 August 2028. About you Please note that these are development positions
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, the development and fine-tuning of vision foundation models, multiple instance learning, survival analysis, and interpretable model development. You will also lead efforts in building multimodal deep learning
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, the development and fine-tuning of vision foundation models, multiple instance learning, survival analysis, and interpretable model development. You will also lead efforts in building multimodal deep learning
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multiple fields and audiences. This is a full time post (35 Hours per week), and you will be offered an a fixed term contract until 31 August 2028. About you Please note that these are development positions
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Programme and Counselling Service- 24/7 support. Supplier discounts, travel, and reward schemes. Staff Networks, and wellbeing activities and state of the art sports facilities. Uniform provide plus the tools
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, and transport sectors (RENEW) Strong skills in implementing convex, linear, and mixed-integer programming and modelling frameworks (JuMP, Pyomo, Yalmip, GAMS, etc) Experience of working with future
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role of interest to you. For over a decade, the Contextual Safeguarding Programme at Durham University (previously at the University of Bedfordshire) has been at the forefront of reforming safeguarding