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12.01.2026, Academic staff The Professorship of Machine Learning at the Department of Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 100%; initial contract 1.5
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12.01.2026, Academic staff The Professorship of Machine Learning at the Department of Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 100%; initial contract 1.5
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, implementation, and evaluation of trials and interventions through the Adolescent Interventions for Mental Health in Bradford (AIM Bradford) programme (www.aimbradford.nhs.uk). This project is ideal for candidates
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research program that brings together physics, chemistry, and machine learning. Your research tasks will include: Uncertainty Estimation in Deep Neural Networks for MLFFs Implement and test uncertainty-aware
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safety, effectiveness, and cost-effectiveness of CBT-I and dCBT-I compared to treatment as usual to treat pregnancy insomnia in the UK NHS. To determine the impact of CBT-I and dCBT-I on on adverse
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sponsors to deliver the outputs and will have access to a bespoke training programme. Per- and polyfluoroalkyl substances (PFAS), also known as “Forever Chemicals”, are micropollutants of increasing concern
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This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at
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will focus on new numerical algorithms that improve the computational efficiency of flutter constraint evaluations. By accelerating these evaluations, we aim to enable rapid flutter assessments, and
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annum for outstanding students). Additional financial support is available through research and teaching assistance work. The Opportunity Within the Integrated PhD Program, a PhD opportunity is available
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This studentship is fully-funded by an EPSRC Industrial Doctoral Landscape Award in partnership with AWE plc. The successful applicant will be welcomed into our world-leading research programme