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and testing a prototype tool with young people, practitioners and computer scientists to support improved identification, understanding and support for self-harm in young people. You will support the
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to develop research programmes and methodologies. The successful applicant will also be able to work collaboratively, supervise the work of others and act as team leader as required. Applicants will be
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. The candidate should have a good 2.1 Bachelors, or Masters degree in Electronic Engineering, Computer Sciences or equivalent. Experience in communications and networking, AI, or robotics is desirable but not
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and determination? We are currently seeking a/an University assistant predoctoral - PhD Position in Graph Learning 39 Faculty of Computer Science Startdate: 01.05.2026 | Working hours: 30 | Collective
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of CH previously developed in our group. About You We are seeking quantitatively-minded researchers with a PhD in physics, mathematics, computer science, mathematical/computational biology, evolutionary
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to the planning and organising of the research programme and/or specific research project Co-ordinate own work with others to avoid conflict or duplication of effort Knowledge of the protected characteristics
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MRI (fMRI), functional Ultrasound Imaging (fUSi) and computational modelling of emotion-related behaviours. This is an exceptional opportunity to develop your research portfolio within a team of
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. Candidates are expected to demonstrate the ability to: work as part of a team; identify research objectives and subsequently conceive, plan and independently execute appropriate activities to deadlines
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program, and warmly encourage applications from students of all backgrounds, including those from underrepresented groups. We particularly welcome students with disabilities, neurodiverse individuals, and
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, Applied Mathematics, Physics, Acoustics, Computational Science or a closely related discipline. Strong experience in numerical/computational modelling (e.g., FEM/multiphysics, wave propagation